tool-design

Design tool descriptions with inputs, outputs, and error handling.

Updated Feb 14, 2026
One-click install
npx skills add https://github.com/Shakudo-io/opencode-skills --skill tool-design-shakudo-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tool-design
Source: https://github.com/Shakudo-io/opencode-skills/tree/main/context-optimization/skills/tool-design
Command: npx skills add https://github.com/Shakudo-io/opencode-skills --skill tool-design-shakudo-io

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Designing tool interfaces for AI agents to reduce ambiguity, improve discoverability, and standardize interactions across tool ecosystems.

Core Features & Use Cases

  • Clear Tool Description Engineering: Define what a tool does, when to use it, required inputs, return structure, and error conditions with consistent naming.
  • Consolidation & Architectural Reduction: Favor a single umbrella tool for complete workflows while preserving separate tools for fundamentally different behaviors.
  • Tool Collection Design & Testing: Establish guidelines for naming conventions, example-driven usage, error handling, and agent-focused evaluation.

Quick Start

Draft a complete tool description for a given function following the standard schema and examples, including name, description, parameters, returns, and errors.

Frequently Asked Questions about tool-design

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

FAQPage Schema
How do I design AI agent tools that reduce ambiguity and standardize interactions?

To design AI agent tools with reduced ambiguity, you craft a precise tool description that unambiguously defines purpose, inputs, outputs, and error handling using a consistent documentation schema.

When should I consolidate multiple agent tools into a single umbrella tool?

You should consolidate multiple agent workflows into a single umbrella tool when behaviors align, but preserve separate tools when behaviors fundamentally differ to maintain clarity.

What is the best way to structure tool descriptions for rapid agent adoption?

The best way to structure tool descriptions for rapid agent adoption is to follow a standard schema including name, description, parameters, returns, and errors, supplemented with clear examples.

How do I evaluate and test a tool collection designed for AI agents?

You evaluate a tool collection by establishing guidelines for naming conventions, example-driven usage, error handling, and agent-focused evaluation to ensure reliable AI interactions.

Why does my AI agent struggle to select the correct tool from my collection?

Your AI agent struggles to select the correct tool due to inconsistent naming, missing examples, or ambiguous descriptions, which can be fixed by applying a consolidation-driven architectural approach.

Do I need to specify error conditions when defining tool interfaces for AI agents?

Yes, you need to specify error conditions when defining tool interfaces to ensure reliable AI behavior, minimize ambiguity, and enable agents to handle failures gracefully.