Does this skill support the Model Context Protocol (MCP)?

Yes, it includes specialized guidance on implementing the MCP standard, which is the emerging industry lingua franca for AI tool interoperability.

Why are tool descriptions more important than the code implementation?

An LLM never sees your source code; it only sees the schema and description. Even a perfect implementation will fail if the AI doesn't understand the documentation.

How does this help prevent LLM hallucinations?

By providing crystal-clear tool descriptions and structured input examples, it ensures the LLM understands exactly when and how to use a tool, reducing guesswork.

What is the primary focus of the Agent Tool Builder skill?

It focuses on designing the interface—specifically schemas and descriptions—through which AI agents interact with external tools and APIs to ensure reliability.

Agent Tool Builder

Name: Agent Tool Builder
Author: claudiodearaujo

byclaudiodearaujo

0•

API 开发

Designs and optimizes high-performance schemas and documentation for AI agent tool-calling and external integrations.

This skill empowers developers to bridge the gap between AI models and external systems by mastering the art of tool design. It focuses on the critical interface—the JSON schemas and descriptions—that LLMs rely on to function correctly, ensuring agents don't hallucinate or fail silently. By implementing Model Context Protocol (MCP) standards and robust error-handling patterns, it enables the creation of reliable, cost-efficient tools that allow Claude to interact seamlessly with any environment or API, prioritizing clear communication over raw implementation code.

主要功能

01Precision description writing for function calling

02JSON Schema optimization for LLM readability

03Tool validation and input example mapping

040 GitHub stars

05Model Context Protocol (MCP) standard integration

06Context-aware tool error recovery patterns

使用场景

01Debugging agents that frequently hallucinate or fail during tool invocation

02Designing highly specific toolsets for multi-agent autonomous systems

03Creating custom MCP servers for complex enterprise integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front agent-tool-builder

For use in Claude.ai and ChatGPT

主要功能

01Precision description writing for function calling

02JSON Schema optimization for LLM readability

03Tool validation and input example mapping

040 GitHub stars

05Model Context Protocol (MCP) standard integration

06Context-aware tool error recovery patterns

使用场景

01Debugging agents that frequently hallucinate or fail during tool invocation

02Designing highly specific toolsets for multi-agent autonomous systems

03Creating custom MCP servers for complex enterprise integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front agent-tool-builder

For use in Claude.ai and ChatGPT