agent-tool-builder
Provides best practices for designing, validating, and documenting AI agent tools to minimize hallucinations and failures.
Install
mkdir -p .claude/skills/agent-tool-builder && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/747" && unzip -o skill.zip -d .claude/skills/agent-tool-builder && rm skill.zipInstalls to .claude/skills/agent-tool-builder
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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 implementaKey capabilities
- →Design clear JSON Schema for tools
- →Use input examples to guide LLM tool usage
- →Implement reliable error handling for tools
- →Understand the importance of tool descriptions
- →Apply MCP standard for AI tools
- →Validate tool inputs and outputs
How it works
This skill focuses on designing effective interfaces between LLMs and external tools by emphasizing clear JSON Schema, descriptive documentation, and explicit error handling.
Inputs & outputs
When to use agent-tool-builder
- →Design clear JSON schemas for LLM tools
- →Improve tool descriptions to reduce hallucination
- →Implement robust error handling for agents
- →Validate tool inputs and outputs
About this skill
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
When not to use it
- →When the focus is solely on tool implementation without considering schema or description
- →When designing tools that are intended to fail silently
- →When creating tools with vague descriptions
Limitations
- →The LLM never sees your code.
- →A perfectly implemented tool with a vague description will fail.
- →A simple tool with crystal-clear documentation will succeed.
How it compares
This skill prioritizes the design of tool schemas and descriptions over implementation details, which directly impacts LLM interaction and reduces common agent failures.
Compared to similar skills
agent-tool-builder side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| agent-tool-builder (this skill) | 3 | 6mo | No flags | Advanced |
| skill-creator | 128 | 3mo | Review | Advanced |
| skill-development | 17 | 8mo | Review | Intermediate |
| agent-identifier | 15 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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