afv-library/skills/agentforce-generate/references/actions-reference.md

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Actions Reference

Complete guide to Agent Actions in Agentforce: Flow, Apex, API actions, and escalation routing.

Primary reference for action properties, target types, and action wiring. Pair with feature-validity.md for utility-vs-target property caveats.


Action Properties Reference

All actions in Agent Script support these properties:

Action Definition Properties

Property Type Required Description
target String Yes Executable target (see Action Target Types below)
description String Yes Explains behavior for LLM decision-making
label String No Display name in UI; auto-generated from action name if omitted
inputs Object No Input parameters and requirements
outputs Object No Return parameters
available_when Expression No Conditional availability for the LLM
require_user_confirmation Boolean No Ask user to confirm before execution; defaults to False
include_in_progress_indicator Boolean No Show progress indicator during execution; defaults to False
progress_indicator_message String No Custom message shown during execution (e.g., "Processing your request...")

Note

: label, require_user_confirmation, include_in_progress_indicator, and progress_indicator_message are valid on action definitions with target: but NOT on @utils.transition utility actions.

Input Properties

Property Type Description
description String Explains the input parameter to LLM; auto-generated from field name if omitted
label String Display name in UI; auto-generated from field name if omitted
is_required Boolean Marks input as mandatory for the LLM; defaults to False
is_user_input Boolean LLM extracts value from conversation context; defaults to False
complex_data_type_name String Lightning data type mapping (required for complex types)

Output Properties

Property Type Description
description String Explains the output parameter to LLM; auto-generated from field name if omitted
label String Display name in UI; auto-generated from field name if omitted
filter_from_agent Boolean True = exclude output from agent context; defaults to False
is_used_by_planner Boolean True = LLM can reason about this value for routing decisions; defaults to False
complex_data_type_name String Lightning data type mapping (required for complex types)
is_displayable Boolean False = hide from user display (compile-valid alias for filter_from_agent: True)

Note

: filter_from_agent: True is the GA standard. is_displayable: False is a compile-valid alias with the same effect.

Safety: For service agents (customer-facing), internal business metrics (risk scores, retention tiers, churn probability, internal classification codes) should be filter_from_agent: True so the LLM can use them for reasoning but they don't appear in customer-facing responses.

Zero-Hallucination Intent Classification Pattern

Use filter_from_agent: True + is_used_by_planner: True to let the LLM route based on action outputs without being able to show them to the user:

outputs:
   intent_classification: string
      filter_from_agent: True     # LLM cannot show this to user
      is_used_by_planner: True    # LLM can use for routing decisions

This prevents the LLM from fabricating classification results — it must invoke the action to get the value, then can only use it for routing decisions.

Example with All Properties

actions:
   process_payment:
      description: "Processes payment for the order"
      require_user_confirmation: True    # Ask user before executing
      include_in_progress_indicator: True
      inputs:
         amount: number
            description: "Payment amount"
         card_token: string
            description: "Tokenized card number"
      outputs:
         transaction_id: string
            description: "Transaction reference"
         card_last_four: string
            description: "Last 4 digits of card"
            filter_from_agent: True     # Hide from LLM context
      target: "flow://Process_Payment"
      available_when: @variables.cart_total > 0

Action Target Types (Complete Reference)

AgentScript supports the following action types. Use the correct protocol for your integration.

Short Name Long Name Description Use Case
apex apex Apex Class Custom business logic; requires @InvocableMethod
prompt generatePromptResponse Prompt Template AI-generated responses
flow flow Salesforce Flow Custom business logic; Must be Autolaunched
standardInvocableAction standardInvocableAction Built-in Salesforce actions Send email, create task, etc.
externalService externalService External API via OpenAPI schema External system calls
quickAction quickAction Object-specific quick actions Log call, create related record
api api REST API calls Direct API invocation
apexRest apexRest Custom REST endpoints Custom @RestResource classes
serviceCatalog createCatalogItemRequest Service Catalog Service catalog requests
integrationProcedureAction executeIntegrationProcedure OmniStudio Integration Industry Cloud procedures
expressionSet runExpressionSet Expression calculations Decision matrix, calculations
cdpMlPrediction cdpMlPrediction CDP ML predictions Data Cloud predictions
externalConnector externalConnector External system connector Pre-built connectors
slack slack Slack integration Slack messaging
namedQuery namedQuery Predefined queries Saved SOQL queries
auraEnabled auraEnabled Lightning component methods @AuraEnabled Apex methods
mcpTool mcpTool Model Context Protocol MCP tool integrations
retriever retriever Knowledge retrieval RAG/knowledge base queries

Target Format: <type>://<DeveloperName> (e.g., apex://GetAccountInfo, prompt://Send_Email)

Common Examples:

# Apex action
target: "apex://CustomerServiceController"

# Flow action
target: "flow://Get_Customer_Orders"

# Prompt template
target: "generatePromptResponse://Email_Draft_Template"

# Standard invocable action (built-in Salesforce)
target: "standardInvocableAction://sendEmail"

# External service (API call)
target: "externalService://Stripe_Payment_API"

Action Invocation Methods

Agent Script provides two ways to invoke actions:

  • Actions Block (actions: in reasoning:) — LLM chooses which to execute
  • Deterministic (run @actions.name) — always executes when code path is reached

Invoking Actions with actions Blocks

The LLM automatically selects appropriate actions from those defined in the reasoning.actions block:

subagent order_management:
   description: "Handles order inquiries"

   reasoning:
      instructions: ->
         | Help the customer with their order.
         | When they ask about an order, look it up.
      actions:
         # LLM automatically selects this when appropriate
         lookup: @actions.get_order
            with order_id=...
            set @variables.order_status = @outputs.status

   actions:
      get_order:
         description: "Retrieves order information"
         inputs:
            order_id: string
               description: "The order ID"
         outputs:
            status: string
               description: "Order status"
         target: "flow://Get_Order_Details"

You can also reference action definitions inside instructions: using {!@actions.name} interpolation. This gives the LLM richer context about available actions.

reasoning:
   instructions: ->
      | To look up an order, use {!@actions.get_order}.
      | To check shipping status, use {!@actions.track_shipment}.

See patterns-by-requirement.md and architecture-patterns.md for pattern selection and usage guidance.

Invoking Actions Deterministically with run

The run keyword uses the common deterministic action mechanism in instructions: ->, action callbacks, and lifecycle blocks such as before_reasoning and after_reasoning. What changes is when the containing block runs, not whether run is valid there.

# Refresh immediately before the reasoning loop.
before_reasoning:
    run @actions.refresh_context
        with user_id=@variables.EndUserId
        set @variables.current_context = @outputs.context

# Chain deterministic work from an invoked reasoning action.
create: @actions.create_order
    with customer_id=@variables.customer_id
    run @actions.send_confirmation
        with order_id=@outputs.id
    set @variables.order_id = @outputs.id

# Load data during instruction resolution.
reasoning:
    instructions: ->
        run @actions.load_customer
            with id=@variables.customer_id
            set @variables.name = @outputs.name

# Log after the reasoning loop completes.
after_reasoning:
    run @actions.log_turn
        with session_id=@variables.RoutableId

Lifecycle timing still matters: for example, a transition may end the current path before a later hook is reached. Validate the intended trace; do not treat that timing question as a syntax restriction on run.


Action Type 1: Flow Actions

When to Use

  • Standard Salesforce data operations (CRUD)
  • Business logic that can be expressed in Flow
  • Autolaunched flows for guided logic execution (screen flows are not valid action targets)
  • Approval processes

Implementation

actions:
  create_case:
    description: "Creates a new support case for the customer"
    inputs:
      subject:
        type: string
        description: "Case subject line"
      description:
        type: string
        description: "Detailed case description"
      priority:
        type: string
        description: "Case priority (Low, Medium, High, Urgent)"
    outputs:
      caseNumber:
        type: string
        description: "Created case number"
      caseId:
        type: string
        description: "Case record ID"
    target: "flow://Create_Support_Case"

Flow Requirements

For an action to work with agents, the Flow must:

  1. Be AutolaunchedprocessType: AutoLaunchedFlow
  2. Have Input Variables — Marked as isInput: true
  3. Have Output Variables — Marked as isOutput: true
  4. Be Activestatus: Active

Flow Variable Example:

<variables>
    <name>subject</name>
    <dataType>String</dataType>
    <isCollection>false</isCollection>
    <isInput>true</isInput>
    <isOutput>false</isOutput>
</variables>

Best Practices

Practice Description
Descriptive names Use clear Flow API names that describe the action
Error handling Include fault paths in your Flow
Bulkification Design Flows to handle multiple records
Governor limits Avoid SOQL/DML in loops

Action Type 2: Apex Actions

When to Use

  • Complex calculations or algorithms
  • Custom integrations requiring Apex
  • Operations not possible in Flow
  • Bulk data processing
  • When you need full control over execution

Step 1: Create Apex Class with @InvocableMethod

⚠️ An Apex class can only have ONE @InvocableMethod. If you need multiple actions, create separate classes — one per action.

public with sharing class CalculateDiscountAction {

    // ─── REQUEST WRAPPER ──────────────────────────────────────────
    // Each @InvocableVariable field name becomes an action input
    // name in the .agent file. Must match character-for-character.

    public class DiscountRequest {
        @InvocableVariable(
            label='Order Amount'
            description='Total order amount before discount'
            required=true
        )
        public Decimal orderAmount;

        @InvocableVariable(
            label='Customer Tier'
            description='Customer membership tier (Bronze, Silver, Gold, Platinum)'
            required=true
        )
        public String customerTier;
    }

    // ─── RESULT WRAPPER ───────────────────────────────────────────
    // Each @InvocableVariable field name becomes an action output
    // name in the .agent file. Must match character-for-character.

    public class DiscountResult {
        @InvocableVariable(
            label='Discount Percentage'
            description='Applied discount percentage'
        )
        public Decimal discountPercentage;

        @InvocableVariable(
            label='Final Amount'
            description='Final order amount after discount'
        )
        public Decimal finalAmount;
    }

    @InvocableMethod(
        label='Calculate Discount'
        description='Calculates discount based on order amount and customer tier'
    )
    public static List<DiscountResult> calculateDiscount(List<DiscountRequest> requests) {
        List<DiscountResult> results = new List<DiscountResult>();
        for (DiscountRequest req : requests) {
            DiscountResult result = new DiscountResult();
            result.discountPercentage = getTierDiscount(req.customerTier);
            result.finalAmount = req.orderAmount * (1 - result.discountPercentage / 100);
            results.add(result);
        }
        return results;
    }

    private static Decimal getTierDiscount(String tier) {
        Map<String, Decimal> tierDiscounts = new Map<String, Decimal>{
            'Bronze' => 5, 'Silver' => 10, 'Gold' => 15, 'Platinum' => 20
        };
        return tierDiscounts.containsKey(tier) ? tierDiscounts.get(tier) : 0;
    }
}

Step 2: Reference DIRECTLY in Agent Script via apex://

subagent discount_calculator:
   description: "Calculates discount for customer order"

   # Level 1: Action DEFINITION with target
   actions:
      calculate_discount:
         description: "Calculates discount based on order amount and customer tier"
         inputs:
            orderAmount: number
               description: "The total order amount before discount"
            customerTier: string
               description: "Customer membership tier"
         outputs:
            discountPercentage: number
               description: "Applied discount percentage"
            finalAmount: number
               description: "Final order amount after discount"
         target: "apex://CalculateDiscountAction"

   reasoning:
      instructions: |
         Help the customer calculate their discount.         
      # Level 2: Action INVOCATION referencing the Level 1 definition
      actions:
         calc: @actions.calculate_discount
            with orderAmount=...
            with customerTier=@variables.tier
            set @variables.final_amount = @outputs.finalAmount

I/O Name Matching Rules

Action inputs: and outputs: names in Agent Script must exactly match the @InvocableVariable field names in the Apex class:

# Given this Apex field:
#   @InvocableVariable
#   public Decimal orderAmount;

# ❌ WRONG — snake_case doesn't match camelCase field name
inputs:
   order_amount: number

# ❌ WRONG — different name entirely
inputs:
   amount: number

# ✅ CORRECT — exact match to Apex field name
inputs:
   orderAmount: number

Partial Output Pattern: You can declare a subset of the target's outputs in your action definition — you don't need to map every output parameter. This is useful when you only need one field from a multi-output action.

Bare @InvocableMethod Pattern (NOT Compatible)

Apex classes using bare List<String> parameters without @InvocableVariable wrapper classes are incompatible with Agent Script. The framework cannot discover bindable parameter names without @InvocableVariable annotations.

// ❌ WRONG — bare parameters, no wrappers (Agent Script cannot bind inputs/outputs)
public class BareAction {
    @InvocableMethod(label='Bare Action')
    public static List<String> execute(List<String> inputs) {
        return inputs;
    }
}

// ✅ CORRECT — wrapper classes with @InvocableVariable
public class WrappedAction {
    public class Request {
        @InvocableVariable(
            label='Input Text'
            description='Text to process'
            required=true
        )
        public String inputText;
    }
    public class Response {
        @InvocableVariable(
            label='Output Text'
            description='Processed result'
        )
        public String outputText;
    }
    @InvocableMethod(label='Wrapped Action')
    public static List<Response> execute(List<Request> requests) { ... }
}

⚠️ Namespace Warning (Unresolved): In namespaced packages, apex://ClassName may fail at publish time with "invocable action does not exist," even when the Apex class is confirmed deployed via SOQL. It is unclear whether namespace prefix syntax is required (e.g., apex://ns__ClassName). If you encounter this in a namespaced org, try: (1) apex://ns__ClassName format, (2) wrapping the Apex in a Flow and using flow:// instead. See known-issues.md for tracking.


Action Type 3: API Actions (External System Integration)

Architecture

┌─────────────────────────────────────────────────────────────┐
│                  API ACTION ARCHITECTURE                    │
├─────────────────────────────────────────────────────────────┤
│  Agent Script                                               │
│       │                                                     │
│       ▼                                                     │
│  flow://HTTP_Callout_Flow                                   │
│       │                                                     │
│       ▼                                                     │
│  HTTP Callout Action (in Flow)                              │
│       │                                                     │
│       ▼                                                     │
│  Named Credential (Authentication)                          │
│       │                                                     │
│       ▼                                                     │
│  External API                                               │
└─────────────────────────────────────────────────────────────┘

Implementation Steps

  1. Create Named Credential (via the integration-connectivity-generate skill)
  2. Create HTTP Callout Flow wrapping the external call
  3. Reference Flow in Agent Script with flow:// target

Security Considerations

Consideration Implementation
Authentication Always use Named Credentials (never hardcode secrets)
Permissions Use Permission Sets to grant Named Principal access
Error handling Implement fault paths in Flow
Logging Log callout details for debugging
Timeouts Set appropriate timeout values

Connection Block (Escalation Routing)

The connection block enables escalation to human agents via Omni-Channel. Always use connection messaging: (singular).

Service agents only. The connection messaging: block and @utils.escalate are only valid for AgentforceServiceAgent. Employee agents (AgentforceEmployeeAgent) MUST NOT include a connection block or @utils.escalate actions — including them causes silent failures or "unknown error" at publish time. For employee agents, use @utils.transition to a help subagent or an action that creates a support case instead.

Basic Syntax

# ❌ WRONG — plural wrapper block (invalid syntax)
connections:
   messaging:
      escalation_message: "Transferring you to a human agent..."
      outbound_route_type: "OmniChannelFlow"
      outbound_route_name: "flow://Support_Queue_Flow"

# ✅ CORRECT — singular with channel type
connection messaging:
   outbound_route_type: "OmniChannelFlow"
   outbound_route_name: "flow://Support_Queue_Flow"
   escalation_message: "Transferring you to a human agent..."
   adaptive_response_allowed: True

Multiple Channels

Each channel gets its own top-level connection <channel>: block:

connection messaging:
   escalation_message: "Transferring to messaging agent..."
   outbound_route_type: "OmniChannelFlow"
   outbound_route_name: "flow://Agent_Support_Flow"
   adaptive_response_allowed: True

Connection Block Properties

Property Type Required Description
outbound_route_type String Yes "OmniChannelFlow" is the only validated value.
outbound_route_name String Yes API name of Omni-Channel Flow (must exist in org)
escalation_message String Yes Message shown to user during transfer
adaptive_response_allowed Boolean No Allow agent to adapt responses during escalation (default: False)

Supported Channels

Channel Description Use Case
messaging Chat/messaging channels; also the escalation-routing surface Enhanced Chat, Web Chat, In-App; human escalation via @utils.escalate
customer_web_client Enhanced Chat v2 (ECv2) surface — the voice-capable connection ADLC authors Voice agents, Agent Builder Preview (see Voice Modality Reference)
telephony Voice/phone routing channel Service Cloud Voice, phone support (channel attachment is UI-only)

Voice agents use connection customer_web_client: (ECv2) as the authored voice surface. telephony (Service Cloud Voice) is a real channel, but attaching a phone number / SIP endpoint is a UI-only step — see the voice reference. Do not author a connection voice: block; it does not exist.

CRITICAL: Values like "queue", "skill", "agent" for outbound_route_type cause validation errors!

Escalation Action

actions:
   transfer_to_human: @utils.escalate
      description: "Transfer to human agent"

Prerequisites for Escalation

  1. Omni-Channel configured in Salesforce
  2. Omni-Channel Flow created and deployed
  3. Connection block in agent script
  4. Messaging channel active (Enhanced Chat, etc.)

Voice-Safe Action Authoring

When an agent has a modality voice: block (see Voice Modality Reference), its actions need extra care: the planner narrates action descriptions and parameter names, and action outputs get spoken aloud. An action authored for a chat agent can embarrass a voice deployment. Apply these rules to every action a voice agent can invoke. (Latency-specific action patterns — sync writes, bulky retrieval — live in voice-latency-heuristics.md.)

1. Descriptions must be voice-safe

The planner reads (verbatim or paraphrased) the action description when it narrates its plan. Bad descriptions produce bad narration.

  • Good: "Look up an account by phone number or account number. Returns the account name, status, and balance."
  • Bad: "AccountLookup runs SOQL against Account where Phone__c OR External_Id__c matches identifier; returns Account.Id, Account.Name, Account.Status__c."

Rules: plain English, no SOQL, no field API names (__c), no backticks; one or two sentences (what it does, then what it returns); if the action is slow, say so; never include example payloads.

2. Parameter names must survive being spoken

The model sometimes narrates parameter names to itself ("I'll need your account eye dee"). Avoid names that break in speech.

  • Bad: accountId → "account eye dee"; custId; phone_num_e164; dt_from.
  • Good: phone_number, account_number, email, order_number, zip_code.

Rules: full words, snake_case, no cryptic suffixes (__c, _pk, _ref); prefer "number" over "id" for anything the caller says out loud.

3. Enumerate small value sets in the description

When a parameter has a small closed set (≤ ~10) of valid values, list them in the input description — Agent Script has no enum or pattern input attribute (the supported input properties are description, label, is_required, is_user_input, complex_data_type_name; see "Input Properties" above). Naming the values inline lets the planner route the caller's utterance to a canonical value in one shot instead of asking a clarifying question, and the model maps synonyms:

inputs:
   priority: string
      description: "Case priority — one of: low, medium, high, urgent. Map the caller's words to the closest value."

Keep the listed values short and lowercase. For open-ended inputs (names, order numbers) describe the expected format in words (e.g. "a 6-digit order number") rather than trying to enforce it — the planner has no format-validation attribute.

4. Wrap internal IDs in a lookup step

If an action needs an internal ID (record ID, case number, 18-char Salesforce ID) the caller doesn't know, don't ask the caller for it. Add or reuse a lookup action that resolves from what the caller can say (phone, email, order number, account name) to the internal ID, and instruct the agent to call the lookup first. Never speak an internal ID back to the caller.

5. Voice-friendly error shapes

When an action fails, its error goes through the model's next spoken turn. Return structured errors, not raw exceptions:

success: false
error_code: "account_not_found"
message: "No account matched the input."
suggested_next_step: "Ask the caller to spell their last name or provide their phone number."

A suggested_next_step field gives the model a scripted recovery path. Never surface stack traces or SOQL faults — they get read aloud. Pair with the empty-result fallback instruction rule in the voice reference.

6. Ack phrases for slow actions

Any action over ~800ms (SOQL, external HTTP, chained callouts, retrieval) feels slow on voice. The fix is instructional, not in the action: add a per-action filler-phrase directive in the agent's instructions (see the ack-phrase rule in voice-modality-reference.md).

7. Confirm before state-changing actions

Any action that changes customer-visible state (update_address, cancel_subscription, schedule_appointment, submit_payment) must be paired with an instruction-level read-back-and-confirm rule. Payment and cancellation confirmations may have legally required phrasing — flag those for a human, don't auto-author them.

What NOT to auto-change: parameter names on actions called from other systems (breaking change), fixed value sets that are wire-level contracts with a downstream system, and legal confirmation phrasing on payment/cancellation actions. Surface these with a suggested rewrite and let a human decide.


Cross-Skill Integration

Orchestration Order for API Actions

When building agents with external API integrations, follow this order (each step names the skill that owns it):

  1. integration-connectivity-generate → Named Credential + External Service
  2. platform-apex-generate@InvocableMethod (if custom logic)
  3. automation-flow-generate → Flow wrapper (HTTP Callout / Apex)
  4. platform-metadata-deploy → Deploy all metadata to org
  5. agentforce-generate (this skill) → Agent with flow:// target
  6. platform-metadata-deploy → Publish (sf agent publish authoring-bundle)

Troubleshooting

Issue Cause Solution
Tool target 'X' is not an action definition Action not defined in subagent actions: block, or target doesn't exist in org Define action with target: in subagent-level actions: block; ensure Apex class/Flow is deployed
invalid input 'X' or invalid output 'X' I/O name doesn't match @InvocableVariable field name in Apex Use exact field names from the Apex wrapper class (case-sensitive)
Internal Error with inputs-only action Action has inputs: but no outputs: block Add outputs: block — the server-side compiler requires it (see known-issues.md Issue 15)
Internal Error with bare @InvocableMethod Apex uses List<String> without @InvocableVariable wrappers Refactor Apex to use wrapper classes with @InvocableVariable annotations
apex:// target not found Apex class not deployed or missing @InvocableMethod Deploy class first, ensure it has @InvocableMethod annotation
Flow action fails Flow not active or not Autolaunched Activate the Flow; ensure it's Autolaunched (not Screen)
API action timeout External system slow Increase timeout, add retry logic
Permission denied Missing Named Principal access Grant Permission Set

Debugging Tips

  1. Check deployment status: sf project deploy report
  2. Test Flow independently: Use Flow debugger in Setup with sample inputs
  3. Check agent logs: Agent Builder → Logs