tool-design

Create structured tool definitions for language-model agents.

1|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/caobingsheng/skills --skill tool-design-caobingsheng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tool-design
Source: https://github.com/caobingsheng/skills/tree/main/design/tool-design
Command: npx skills add https://github.com/caobingsheng/skills --skill tool-design-caobingsheng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tools for agents require precise, consistent definitions to minimize ambiguity and errors. This skill teaches how to design, describe, and organize tool interfaces so agents can reason about and select the right capabilities.

Core Features & Use Cases

  • Clear tool descriptions that specify what the tool does, when to use it, and what it returns.
  • Guidance on consolidation and architectural reduction to keep toolkits focused and scalable.
  • Best practices for error handling, naming conventions, and evaluation of tool designs.

Quick Start

Provide a concise, well-structured tool description for an agent task following these guidelines.

Frequently Asked Questions about tool-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design robust tools for language-model agents?

Designing robust agent tools requires creating precise, consistent definitions that specify what the tool does, when to use it, and what it returns to minimize ambiguity. This involves enforcing a standard tool description schema and evaluation guidelines.

What is architectural reduction in agent tool design?

Architectural reduction is a consolidation practice that keeps toolkits focused and scalable by minimizing the toolset across workflows. It balances a minimal yet effective set of capabilities to ensure reliable agent behavior without redundancy.

How do I write clear tool descriptions for prompt engineering?

Writing clear tool descriptions involves specifying what the tool does, when to use it, and what it returns. You must follow a standard tool description schema to ensure language-model agents can reason about and select the right capabilities.

What's the best way to handle errors in agent tools?

The best way to handle errors in agent tools is to enforce best practices for error handling within your tool definitions. This ensures reliable agent behavior by allowing the agent to process exceptions and recover gracefully during workflows.

When do I need a standard tool description schema?

You need a standard tool description schema when tools require precise, consistent definitions to minimize ambiguity. It ensures agents can accurately reason about capabilities, select the right tools, and maintain reliable behavior across complex workflows.