What is Strict Schema Conformance?

It is a feature that guarantees Claude's output will match your defined JSON schema exactly, ensuring type safety and preventing missing required fields in production.

What is Claude tool-use?

Tool-use (also known as function calling) allows Claude to interact with external tools and APIs by generating structured JSON arguments based on a provided schema you define.

Can Claude execute multiple tools simultaneously?

Yes, this skill provides patterns for parallel tool use where Claude generates multiple independent tool calls in a single turn, which are then processed and returned in a single message.

Does this skill work with Claude's extended thinking mode?

Yes, though it requires specific tool_choice modes like 'auto' or 'none' to function correctly while utilizing Claude's internal reasoning process.

How does Claude handle errors during tool execution?

This skill implements error recovery patterns using the 'is_error' flag in tool results, allowing Claude to understand when a tool failed and decide whether to retry or notify the user.

Claude Tool-Use Patterns

Name: Claude Tool-Use Patterns
Author: Lobbi-Docs

byLobbi-Docs

API Development

Implements advanced tool-use patterns for Claude, including JSON schema design, parallel execution, and strict validation for agentic workflows.

About

This skill provides a comprehensive framework for integrating external tools with Claude, enabling the creation of autonomous agents that can perform actions like API calls, database queries, and file system manipulations. It covers the entire tool-use lifecycle—from designing robust JSON schemas with strict conformance to managing complex multi-turn conversations and parallel execution. By adopting these patterns, developers can build more reliable AI applications that handle errors gracefully, maintain type safety, and leverage Claude's extended thinking capabilities for complex reasoning tasks.

Key Features

0 GitHub stars
Comprehensive JSON Schema design for robust tool definitions
Dynamic Tool Choice modes including auto, forced, and none
Parallel and multi-turn tool orchestration patterns
Strict Schema Conformance for guaranteed type-safe parameters
Advanced error recovery and structured result handling

Use Cases

Developing complex multi-step workflows where tools depend on sequential outputs
Building autonomous AI agents that interact with external web services or APIs
Creating structured data extraction pipelines using forced tool outputs

About

Key Features

0 GitHub stars
Comprehensive JSON Schema design for robust tool definitions
Dynamic Tool Choice modes including auto, forced, and none
Parallel and multi-turn tool orchestration patterns
Strict Schema Conformance for guaranteed type-safe parameters
Advanced error recovery and structured result handling

Use Cases

Developing complex multi-step workflows where tools depend on sequential outputs
Building autonomous AI agents that interact with external web services or APIs
Creating structured data extraction pipelines using forced tool outputs