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

Yes, it includes capabilities and patterns specifically for designing and validating MCP-compliant tools.

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

It focuses on the design of the interface between LLMs and external code, ensuring that tool schemas and descriptions are clear enough to prevent hallucinations and errors.

How does this skill improve tool reliability?

By emphasizing explicit error messages and detailed descriptions over implementation details, it ensures the LLM understands exactly how and when to use a tool.

Why is tool description more important than the code itself?

The LLM never sees your source code; it only sees the tool's schema and description. If those are vague, the agent will fail regardless of how well the underlying code is written.

Agent Tool Builder

Name: Agent Tool Builder
Author: JantonioFC

byJantonioFC

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Desarrollo de API

Standardizes the creation of robust, schema-driven tool interfaces that prevent LLM hallucinations and communication failures.

The Agent Tool Builder skill focuses on the critical design layer between LLMs and external systems, ensuring that AI agents can interact with APIs and functions reliably. By prioritizing explicit JSON schema design, high-quality documentation, and proactive error handling, this skill helps developers create tools that agents use effectively without looping or failing silently. It provides proven patterns for Model Context Protocol (MCP) integration, input validation, and crafting informative feedback loops that allow AI agents to self-correct and complete complex tasks autonomously.

Características Principales

01Input validation patterns to prevent silent failures

02Model Context Protocol (MCP) tool standardization

03Informative error handling to facilitate agent recovery

04High-precision JSON Schema design for function calling

05Tool description optimization to reduce hallucinations

062 GitHub stars

Casos de Uso

01Designing custom MCP servers for proprietary data access

02Implementing self-correcting workflows in multi-agent systems

03Optimizing API tool descriptions for better agent performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank agent-tool-builder

For use in Claude.ai and ChatGPT

Características Principales

01Input validation patterns to prevent silent failures

02Model Context Protocol (MCP) tool standardization

03Informative error handling to facilitate agent recovery

04High-precision JSON Schema design for function calling

05Tool description optimization to reduce hallucinations

062 GitHub stars

Casos de Uso

01Designing custom MCP servers for proprietary data access

02Implementing self-correcting workflows in multi-agent systems

03Optimizing API tool descriptions for better agent performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank agent-tool-builder

For use in Claude.ai and ChatGPT