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tool-design

Design clear tool APIs and error messages for AI agents.

Updated Feb 15, 2026
Search Tags:#prompt engineering#api design#tool design#consolidation#agent tools#architectural reduction
One-click install
npx skills add https://github.com/aldy505/atrium --skill tool-design-aldy505
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tool-design
Source: https://github.com/aldy505/atrium/tree/main/.agents/skills/context-engineering-collection/skills/tool-design
Command: npx skills add https://github.com/aldy505/atrium --skill tool-design-aldy505

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenges of designing and implementing tools for AI agents, ensuring clear, efficient, and reliable interactions between agents and deterministic systems.

Core Features & Use Cases

  • Tool API Design: Guides the creation of unambiguous tool descriptions and interfaces optimized for language models.
  • Consolidation & Reduction: Promotes principles for simplifying tool sets by consolidating functionality and embracing architectural reduction.
  • Use Case: When developing a new AI assistant that needs to interact with a database, this Skill helps define the optimal set of tools, their descriptions, and their parameters to ensure the agent can query the database effectively and safely.

Quick Start

Use the tool-design skill to create a new tool description for a weather API.

Frequently Asked Questions about tool-design

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

FAQPage Schema
How do I design effective tools for AI agents?▼

Designing effective tools for AI agents involves creating clear, unambiguous tool descriptions and interfaces optimized for language models. This Skill provides guidance on tool API design, consolidation principles, and architectural reduction to ensure robust agent-tool interactions.

What's the best way to consolidate functionality when building agent tools?▼

Consolidating functionality when building agent tools is guided by architectural reduction principles. This Skill promotes simplifying tool sets by merging related operations, reducing the overall number of tools an agent must evaluate and choose from.

How do I write unambiguous tool descriptions for language models?▼

Writing unambiguous tool descriptions for language models requires clear interface definitions specifically optimized for LLM comprehension. This Skill guides the creation of precise tool APIs that minimize agent confusion and ensure safe, effective deterministic system interactions.

How should error messages be designed for agent recovery?▼

Error messages for agent recovery should be designed to provide clear, actionable feedback that allows the AI agent to understand the failure and adjust its approach. This Skill addresses designing error messages specifically to support robust agent-tool interactions.

Why does my AI assistant struggle to use my database API correctly?▼

An AI assistant may struggle to use a database API if the tool descriptions and parameters are not optimized for language models. This Skill helps define the optimal set of tools and interfaces to ensure the agent can query deterministic systems effectively and safely.

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