Why are tool descriptions more important than implementation?

Because LLMs never see your underlying code; they only see the schema and description. A perfectly coded tool will fail if the agent doesn't understand exactly how or when to call it.

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

It focuses on designing clear, descriptive tool interfaces that prevent LLM hallucinations and ensure reliable agent performance by optimizing the schema that the model actually sees.

How does this skill help reduce token costs?

By providing crystal-clear tool descriptions and schemas, it prevents agents from looping, failing silently, or requiring multiple retries, which saves significant token usage.

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

Yes, it includes best practices for the MCP standard, which is becoming the universal language for AI tools to interact with various platforms.

Agent Tool Builder

Name: Agent Tool Builder
Author: claudiodearaujo

byclaudiodearaujo

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API Development

Designs high-performance tool schemas and descriptions that optimize LLM tool-calling and prevent agent hallucinations.

Agent Tool Builder is a specialized skill designed to bridge the gap between AI agents and external systems. It operates on the core principle that an LLM's effectiveness is dictated by the clarity of a tool's schema and description rather than its internal code. This skill provides developers with best practices for JSON Schema design, the emerging Model Context Protocol (MCP) standard, and proactive error handling. By focusing on explicit documentation and validation, it helps create robust tools that minimize token waste, prevent silent failures, and allow agents to recover gracefully from unexpected inputs.

Key Features

01Validation logic to ensure consistent tool-agent interactions

02Implementation of the Model Context Protocol (MCP) for tool interoperability

031 GitHub stars

04Standardized JSON Schema design for unambiguous function calling

05Advanced error handling patterns for LLM-assisted recovery

06Strategic tool description writing to minimize agent hallucinations

Use Cases

01Building cross-platform AI tools using the industry-standard MCP format

02Defining tool interfaces for complex multi-agent orchestration systems

03Optimizing legacy API schemas for better LLM performance and reliability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill