Claude-skill-registry Claude Tool Calling Patterns

Comprehensive guide for AI agents on proper Claude-style tool calling with correct syntax, patterns, and examples

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/claude-tool-calling" ~/.claude/skills/majiayu000-claude-skill-registry-claude-tool-calling-patterns && rm -rf "$T"
manifest: skills/data/claude-tool-calling/SKILL.md
source content

Claude Tool Calling Patterns

Overview

This skill provides comprehensive guidance on proper Claude-style tool calling syntax for AI agents building systems that interact with Claude's API. Claude uses a unique XML-based tool calling format that differs from other LLM APIs.

Key Insight: Claude's tool calling uses XML-style function_calls blocks with nested invoke and parameter tags. Understanding this structure is critical for building reliable agent systems.

When to Use This Skill

  • Building AI agent systems that need to call tools via Claude API
  • Implementing function calling in Claude-powered applications
  • Debugging tool calling issues in existing Claude integrations
  • Training other AI agents to properly format tool calls
  • Migrating from OpenAI function calling to Claude tool use

Prerequisites

  • Claude API access: Anthropic API key
  • XML/HTML familiarity: Understanding of tag structure
  • JSON knowledge: Tool parameters use JSON format
  • Programming basics: Calling APIs from your language of choice

Skill Usage Type

EDUCATIONAL - Study the patterns and examples, implement in your Claude API integration. The examples are reference implementations showing correct syntax.

Core Concepts

Tool Calling Structure

Claude's tool calling format uses three layers - see examples directory for complete working examples.

Key Differences from OpenAI

AspectOpenAI Function CallingClaude Tool Use
FormatJSON in tool_calls arrayXML-style function_calls block
Multiple callsArray of tool call objectsMultiple invoke tags in same block
ParametersJSON objectIndividual parameter tags
Responsetool_call_id requiredImplicit response matching
SyntaxPure JSONXML with JSON for complex parameters

Critical Rules

Rule 1: Always Use function_calls Block

Every tool call MUST be wrapped in a function_calls block, even for single calls.

Rule 2: One invoke Per Tool

Each tool gets its own invoke tag with the tool name in the name attribute.

Rule 3: Individual parameter Tags

Each parameter gets its own tag - do NOT pass all parameters as JSON unless they are nested objects.

Rule 4: JSON for Complex Types

Use JSON format within parameter tags for:

  • Arrays
  • Objects/nested structures
  • Complex data types

Rule 5: Parallel Tool Calls

Multiple invoke tags in the same function_calls block execute in parallel.

Rule 6: Sequential Tool Calls

Use multiple separate function_calls blocks for sequential operations that depend on previous results.

Common Patterns

Pattern 1: Single Tool Call

See examples/tool-calling-examples.md for working code.

Pattern 2: Multiple Parallel Calls

Multiple invoke tags within ONE function_calls block.

Pattern 3: JSON Parameters

Complex parameters use JSON format within parameter tags.

Pattern 4: Sequential Calls

Separate function_calls blocks when you need results from first call before making second call.

Common Mistakes

Mistake 1: Missing function_calls Wrapper

NEVER write invoke tags without the function_calls container.

Mistake 2: Wrong Parameter Format

Do NOT pass all parameters as single JSON blob - use individual parameter tags.

Mistake 3: Unclosed Tags

Always properly close all tags in correct order.

Mistake 4: Mixing Sequential and Parallel

Don't mix calls that need sequential execution in parallel block.

Tool Result Handling

When Claude calls your tools, your system must:

  1. Execute the requested tools
  2. Format results properly
  3. Return in correct structure
  4. Handle errors gracefully

See examples directory for complete request-response cycles.

Best Practices

Practice 1: Validate Tool Schemas

Always validate that tool names and parameters match your schema.

Practice 2: Handle Missing Tools

Gracefully handle cases where Claude requests non-existent tools.

Practice 3: Error Messages

Return clear error messages in tool results for debugging.

Practice 4: Type Checking

Validate parameter types match what your tools expect.

Practice 5: Parallel Where Possible

Use parallel calls when tools don't depend on each other for better performance.

Integration Patterns

Pattern A: Tool Schema Definition

Define your tools clearly in the API request with proper JSON Schema.

Pattern B: Result Formatting

Format tool results consistently for Claude to parse.

Pattern C: Error Handling

Handle tool execution errors and return useful messages.

Claude Code-Specific Behaviors

API Integration Points

When integrating Claude tool calling:

  1. Define tools in API request using JSON Schema
  2. Parse function_calls blocks from Claude's response
  3. Execute requested tools in your system
  4. Format results as function_results XML blocks
  5. Continue conversation by sending results back
  6. Loop until completion (Claude stops making tool calls)

Tool Results Format

Return results to Claude in this format:

<function_results>
<result>
<name>tool_name</name>
<output>Tool output or error message</output>
</result>
</function_results>

For errors, use

<tool_use_error>
tags within output.

Stop Reason Detection

Claude API returns

stop_reason
field:

  • "tool_use"
    → Execute tools and continue
  • "end_turn"
    → Normal completion, no more tools needed
  • "max_tokens"
    → Hit token limit
  • "stop_sequence"
    → Custom stop sequence hit

Thinking Tags

Claude may include

<thinking>
tags for internal reasoning - these are NOT tool calls. Parse and ignore them when extracting tool calls.

Text Around Tool Calls

Claude can include explanatory text before/after tool calls. Preserve this text for user experience, but only execute the function_calls blocks.

Examples Directory

Complete working examples are in the examples/ subdirectory:

  • tool-calling-examples.md
    - Full examples of all patterns + Claude Code-specific behaviors
  • common-mistakes.md
    - Detailed mistake examples with fixes

These examples show the actual XML syntax that would be interpreted if included directly in this file.

Implementation Checklist

When implementing Claude tool calling:

  • Define tool schemas with proper JSON Schema
  • Parse function_calls blocks from Claude responses
  • Filter out thinking tags (don't execute as tools)
  • Extract invoke tags and parameter tags
  • Execute requested tools (parallel or sequential)
  • Format results as function_results XML blocks
  • Handle errors with tool_use_error tags
  • Check stop_reason to detect tool_use vs end_turn
  • Preserve explanatory text around tool calls
  • Continue conversation loop until completion
  • Validate all tool names and parameters
  • Test parallel tool calling
  • Test sequential tool calling (multi-turn)
  • Test error cases and recovery
  • Test mixed text and tool call responses

References

See examples/ Directory

IMPORTANT: All concrete XML examples are in the examples/ subdirectory to prevent accidental tool execution when this skill file is read. Always refer to examples/ for actual syntax.


Created: 2026-01-22 Last Updated: 2026-01-22 v1.1 Changes in v1.1: Added Claude Code-specific behaviors, API integration patterns, thinking tags, stop_reason handling, conversation flow