afv-library/skills/platform-metadata-api-context-get/references/usage_guide.md

Metadata API Skill — Usage Guide

Supplementary reference material for the platform-metadata-api-context-get skill. Load this file only when you need the deeper background below; the core decision tree, section-loading rules, generation requirements, and troubleshooting live in SKILL.md.

Why Token Optimization Matters

Context Window Constraints

Claude has a finite context window (200K tokens). Loading the full metadata-type corpus would consume:

• ~15MB of JSON data
• ~75,000 tokens (approximately 40% of available context)
• Reduced space for your actual code and conversation

This leaves less room for:

• Your project's code files
• Conversation history
• Generated responses
• Multi-turn problem solving

Cost Implications

Token usage directly impacts costs:

• Input tokens: Every loaded file counts toward input cost
• Repeated requests: Loading files multiple times multiplies costs
• Cache misses: Large contexts may not fit in prompt cache

Performance Trade-offs

Loading all files affects performance:

• Slower response times: More tokens to process
• Reduced relevance: LLM must search through more irrelevant data
• Context dilution: Important information gets buried in noise

Best Practices

✅ DO:

• Use programmatic JSON parsing to extract only needed sections (Python json.load(), Node.js JSON.parse(), etc.)
• Load only specific sections from each JSON file (fields, description) not the entire file
• Load 1-5 specific metadata types relevant to your task
• Check the sections array first to see what's available
• Use the index table to find related types
• Skip WSDL segments and sample definitions unless explicitly needed
• Cache frequently used sections (fields for CustomObject, Flow, Profile)

❌ DON'T:

• NEVER use the read_file tool or other whole-file readers on the metadata-type JSON files (loads entire file into context)
• Load entire JSON files when you only need 1-2 sections
• Load every metadata type at once
• Load files "just in case" you might need them
• Repeatedly load the same files in a conversation
• Include WSDL segments unless you need schema validation
• Load declarative_metadata_sample_definition unless examples are required

Example: Good vs. Bad

Bad (wastes ~75,000 tokens):

"Load all metadata types so I can reference them"

Better (uses ~500 tokens):

"Show me the CustomObject and CustomField metadata types"

Best (uses ~150 tokens):

"Show me only the 'fields' section from CustomObject.json"

The section-specific approach uses 500x fewer tokens while providing exactly what you need.

Token Size Reference

Approximate token counts for different loading strategies:

What You Load	Approx. Tokens	Use Case
Single section (fields only)	50-200	✅ BEST - Quick field reference
Single section (description)	20-100	✅ Overview/understanding
2-3 sections from one type	150-500	Most common use case
Entire single type (small)	100-500	Small types without WSDL
Entire single type (large)	500-2,000	❌ Wasteful - includes unused WSDL
5 related types (entire files)	2,000-5,000	❌ Use section-specific loading instead
20 types (entire files)	10,000-15,000	❌ Avoid - major waste
50 types (entire files)	25,000-35,000	❌ Never do this
The full metadata-type corpus	~75,000	❌ Catastrophic waste

Note: Loading only specific sections (fields, description) typically reduces token usage by 60-80% per file compared to loading entire files with WSDL segments and examples.

Usage Examples

Example 1: Creating a CustomObject (Section-Specific)

User: "I need to create a custom object metadata file for a Student object"

Response approach (Token-efficient):

1. Load ONLY the fields section from assets/metadata_api/CustomObject.json
2. Review required fields: label, nameField, deploymentStatus, sharingModel
3. If needed, also load the declarative_metadata_sample_definition section for XML structure example
4. Generate XML with correct namespace
5. Include file naming convention: Student__c.object-meta.xml

Token savings: ~70% (loading only 'fields' + 'declarative_metadata_sample_definition' instead of entire file with WSDL)

Example 2: Understanding Flow Metadata (Section-Specific)

User: "What fields are available in a Flow metadata type?"

Response approach (Token-efficient):

1. Load ONLY the fields section from assets/metadata_api/Flow.json
2. List field names, types, and descriptions
3. Highlight required fields and common patterns
4. Skip wsdl_segment, description, and other sections

Token savings: ~80% (fields section is ~200 tokens vs ~1000 for entire file)

Example 3: Modifying a Profile (Section-Specific)

User: "How do I add object permissions to a Profile?"

Response approach (Token-efficient):

1. Load ONLY the fields section from assets/metadata_api/Profile.json
2. Find objectPermissions field definition within that section
3. Show structure and required sub-fields
4. If XML example needed, separately load declarative_metadata_sample_definition

Token savings: ~75% (avoiding massive WSDL segment in Profile.json)

Example 4: Working with ApexClass Metadata (Section-Specific)

User: "What's the metadata file structure for an Apex class?"

Response approach (Token-efficient):

1. Load the fields and description sections from assets/metadata_api/ApexClass.json
2. Show the simple structure (apiVersion, status)
3. Explain the relationship between .cls and .cls-meta.xml files
4. Load file_information section only if directory structure details needed

Token savings: ~60% (ApexClass is simpler but still benefits from section filtering)

Common Workflows

Workflow 1: Creating New Metadata

1. Identify the metadata type you need
2. Load the corresponding JSON file
3. Review required fields and their types
4. Check sample XML in declarative_metadata_sample_definition
5. Generate XML with correct namespace and structure
6. Save to appropriate directory in SFDX project
7. Validate with Salesforce CLI

Workflow 2: Understanding Existing Metadata

1. Identify the metadata type from file extension
2. Load the JSON documentation
3. Review field descriptions to understand purpose
4. Check WSDL segment for complex type definitions
5. Cross-reference with your XML file

Workflow 3: Modifying Metadata

1. Load JSON for the metadata type
2. Identify the field you want to modify
3. Verify it's not a required field or understand implications
4. Check field type and valid values
5. Update XML maintaining proper structure
6. Validate before deploying

Workflow 4: Planning a Migration

1. List all metadata types involved
2. Load JSON for each type (5-10 at a time to optimize tokens)
3. Identify dependencies between types
4. Plan deployment order based on dependencies
5. Validate required fields for each type

Understanding Sections

Different metadata types have different available sections. Here's what each section typically contains:

Core Sections (Most Types)

• title: The metadata type name and page header
• description: Overview of what the metadata type represents and its purpose
• fields: Detailed field definitions with types, descriptions, and requirements
• file_information: File naming conventions and extensions
• directory_location: Where files are stored in Salesforce DX projects

Schema Sections

• wsdl_segment: XML schema definition from the Metadata API WSDL
  • Contains complexType and simpleType definitions
  • Shows complete structure and type relationships
  • Useful for validation and understanding complex nested structures

Example Sections

• declarative_metadata_sample_definition: Sample XML code
  • Usually includes 1-3 complete examples
  • Shows real-world usage patterns
  • Demonstrates proper XML structure

Type-Specific Sections

Some metadata types have additional sections:

• child_metadata_types: Nested or related types (e.g., CustomObject has CustomField)
• fields_for_customfield: Special field definitions for CustomField type
• countriesandstates: Country and state data (AddressSettings)
• action_override_types: Available override types (ActionOverride)

fields vs sub_types — composite types

Every authored metadata type exposes its OWN fields under a fields key. Composite types (Flow, Workflow, Layout, …) also reference distinct sub-types (their own complexTypes); those are grouped under a sub_types object keyed by the sub-type's CamelCase name — they are NOT mixed into the parent's fields.

Pattern	Where the fields live	Examples
Simple type	fields	ApexTrigger, ApexPage, StaticResource, RemoteSiteSetting
Composite type	fields (the type's own fields) + sub_types: { <CamelCaseName>: {…fields…} }	Flow → fields + sub_types.FlowActionCall, sub_types.FlowAssignment, …; Workflow → fields + sub_types.WorkflowAlert, …
SOAP result / response wrapper	properties (no fields)	SaveResult, UpsertResult, DeleteResult, Error

So for Flow.json: load fields for Flow's own fields (e.g. actionCalls, which is typed FlowActionCall[]), and load sub_types.FlowActionCall for that referenced type's fields (e.g. actionName). A sub-type's fields are NOT in the parent's fields. Feature-gated settings (e.g. IndustriesSettings' "Fields for Health Cloud" groups) are merged into the single fields section.

See the Index Table for a complete breakdown of which types have which sections.

Metadata File Generation — Detailed Reference

Field Type Validation

Match field types exactly:

Field Type	XML Format	Example
string	<fieldName>value</fieldName>	<label>My Object</label>
boolean	<fieldName>true or false</fieldName>	<deploymentStatus>Deployed</deploymentStatus>
int	<fieldName>123</fieldName>	<externalSharingModel>Private</externalSharingModel>
CustomField[]	Multiple <fields> tags	<fields>...</fields><fields>...</fields>
enumeration	Use exact enum value	<sharingModel>ReadWrite</sharingModel>

Common Patterns and Conventions

File Naming

• Custom objects: MyObject__c.object-meta.xml
• Custom fields: MyObject__c.MyField__c.field-meta.xml
• Flows: My_Flow.flow-meta.xml
• Apex classes: MyClass.cls-meta.xml
• Profiles: Admin.profile-meta.xml

Two-File ("source + meta") Types

Several metadata types are authored as a pair of files in SFDX source format: a source file with the actual content, and a sibling <base>.<ext>-meta.xml carrying deployment metadata. The JSON's content field (when present, base64-encoded) corresponds to the source file on disk:

Type	Source file	Meta sidecar
ApexClass	MyClass.cls (Apex code)	MyClass.cls-meta.xml
ApexTrigger	MyTrigger.trigger (Apex code)	MyTrigger.trigger-meta.xml
ApexComponent	MyComp.component (markup)	MyComp.component-meta.xml
ApexPage	MyPage.page (Visualforce markup)	MyPage.page-meta.xml
StaticResource	MyResource.<ext> (any payload)	MyResource.resource-meta.xml
AuraDefinitionBundle	bundle dir with .cmp/.app/.evt + .js + .css etc.	bundle-meta.xml inside the dir
LightningComponentBundle	bundle dir with .html/.js/.css	bundle.js-meta.xml inside the dir

When a JSON file contains a content field of type base64, that's the SOAP-API artifact equivalent of the disk source file. Authors write the source file directly; the -meta.xml sidecar carries fields like apiVersion and status.

Child Metadata Types (legacy MDAPI vs SFDX source format)

Some metadata types appear in the index but are child elements of a parent type, not standalone files. Examples: ValidationRule, WebLink, RecordType, CompactLayout, ListView, BusinessProcess, FieldSet, SharingReason, Index — all nested under CustomObject. Their JSON files lack file_information and directory_location because the legacy MDAPI form serializes them inline inside the parent .object file.

In modern SFDX source format, these child types are decomposed into their own files under the parent object directory:

force-app/main/default/objects/MyObject__c/
├── MyObject__c.object-meta.xml
├── fields/
│   └── MyField__c.field-meta.xml
├── validationRules/
│   └── My_Rule.validationRule-meta.xml
├── recordTypes/
│   └── My_RT.recordType-meta.xml
├── webLinks/
│   └── My_Link.webLink-meta.xml
├── compactLayouts/
│   └── My_Layout.compactLayout-meta.xml
└── listViews/
    └── My_View.listView-meta.xml

The JSON's declarative_metadata_sample_definition shows the legacy inline form (e.g., <validationRules> inside <CustomObject>). When authoring in SFDX source format, take the inner element of that sample, drop it into its own file under the appropriate sub-directory, and add the standard <?xml ...?> + namespace wrapper using the type name as the root (e.g., <ValidationRule xmlns=...>).

Directory Structure (Salesforce DX)

force-app/main/default/
├── objects/
│   └── MyObject__c/
│       ├── MyObject__c.object-meta.xml
│       └── fields/
│           └── MyField__c.field-meta.xml
├── flows/
│   └── My_Flow.flow-meta.xml
├── classes/
│   ├── MyClass.cls
│   └── MyClass.cls-meta.xml
└── profiles/
    └── Admin.profile-meta.xml

Examples of Well-Formed Files

CustomObject Example:

<?xml version="1.0" encoding="UTF-8"?>
<CustomObject xmlns="http://soap.sforce.com/2006/04/metadata">
    <label>My Custom Object</label>
    <pluralLabel>My Custom Objects</pluralLabel>
    <nameField>
        <label>Name</label>
        <type>Text</type>
    </nameField>
    <deploymentStatus>Deployed</deploymentStatus>
    <sharingModel>ReadWrite</sharingModel>
    <enableActivities>true</enableActivities>
    <enableHistory>true</enableHistory>
</CustomObject>

Flow Example:

<?xml version="1.0" encoding="UTF-8"?>
<Flow xmlns="http://soap.sforce.com/2006/04/metadata">
    <apiVersion>61.0</apiVersion>
    <status>Active</status>
    <processType>AutoLaunchedFlow</processType>
    <start>
        <locationX>50</locationX>
        <locationY>50</locationY>
    </start>
</Flow>

Updates & Versioning

Current Version

• API Version: 67.0
• Release: Summer 26
• Generated: 2026-06-10 11:21:11

Version Compatibility

This skill documentation is generated from Salesforce Metadata API version 67.0. When working with different API versions:

• Newer versions: May have additional fields or metadata types not documented here
• Older versions: Some fields or types may not be available
• Check your org: Use sf project retrieve to see what's available in your org

Updating the Skill

This skill is automatically generated from source JSON files. To update:

1. Regenerate source JSON files from latest Salesforce WSDL
2. Run the skill generator script
3. Review changes in generation log
4. Deploy updated skill

Additional Resources

Official Salesforce Documentation

• Metadata API Developer Guide
• Metadata Types Reference
• Salesforce DX Developer Guide

Salesforce CLI Commands

• sf project deploy validate: Validate metadata before deploying
• sf project deploy start: Deploy metadata to org
• sf project retrieve start: Retrieve metadata from org
• sf project convert: Convert between source and metadata formats

Related Skills

• Enterprise API: For SOQL queries and DML operations
• Tooling API: For development tools and metadata queries
• SFDX: For project structure and deployment

Support

Getting Help

If you encounter issues or have questions:

1. Check the Index: metadata_index_table.md (in this references/ folder) lists all available types
2. Review Examples: See usage examples above for common patterns
3. Consult WSDL: Check wsdl_segment in JSON files for schema details
4. Salesforce Documentation: Official docs have additional context

Reporting Issues

For issues with this skill:

• Check that the metadata type exists in your Salesforce org version
• Verify file paths are correct
• Review generation log for warnings or errors
• Contact the skill maintainer with specific error details

Contributing

This skill is automatically generated. To contribute:

• Report incorrect or missing information
• Suggest improvements to documentation structure
• Provide feedback on token optimization strategies

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