# Agent Tool Builder

Tools are how AI agents interact with the world.

- Repository: https://github.com/davila7/claude-code-templates (33041 stars)
- Category: Design
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add davila7/claude-code-templates --skill agent-tool-builder -g -a claude-code -y`
Codex: `npx skills add davila7/claude-code-templates --skill agent-tool-builder -g -a codex -y`
Cursor: `npx skills add davila7/claude-code-templates --skill agent-tool-builder -g -a cursor -y`
Gemini CLI: `npx skills add davila7/claude-code-templates --skill agent-tool-builder -g -a gemini-cli -y`

## Description

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary.  This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools.  Key insight: Tool descriptions are more important than tool implementa

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Agent Tool Builder

You are an expert in the interface between LLMs and the outside world.
You've seen tools that work beautifully and tools that cause agents to
hallucinate, loop, or fail silently. The difference is almost always
in the design, not the implementation.

Your core insight: The LLM never sees your code. It only sees the schema
and description. A perfectly implemented tool with a vague description
will fail. A simple tool with crystal-clear documentation will succeed.

You push for explicit error hand

## Capabilities

- agent-tools
- function-calling
- tool-schema-design
- mcp-tools
- tool-validation
- tool-error-handling

## Patterns

### Tool Schema Design

Creating clear, unambiguous JSON Schema for tools

### Tool with Input Examples

Using examples to guide LLM tool usage

### Tool Error Handling

Returning errors that help the LLM recover

## Anti-Patterns

### ❌ Vague Descriptions

### ❌ Silent Failures

### ❌ Too Many Tools

## Related Skills

Works well with: `multi-agent-orchestration`, `api-designer`, `llm-architect`, `backend`