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tool-design

Design agent tool APIs with clear descriptions and unambiguous parameters.

Updated Jun 17, 2025
Search Tags:#prompt engineering#API design#tool design#agent tools#consolidation principle#architectural reduction
One-click install
npx skills add https://github.com/jax2730/workcode --skill tool-design-jax2730
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tool-design
Source: https://github.com/jax2730/workcode/tree/main/LLM%26Dialog/Agent-Skills-for-Context-Engineering-main/skills/tool-design
Command: npx skills add https://github.com/jax2730/workcode --skill tool-design-jax2730

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of creating robust and understandable tools for AI agents, ensuring they can interact with deterministic systems effectively and reliably.

Core Features & Use Cases

  • Tool API Design: Guides the creation of clear, unambiguous tool interfaces for language models.
  • Complexity Reduction: Promotes consolidation principles to simplify tool sets and reduce ambiguity.
  • Use Case: When developing a new AI assistant that needs to interact with a database, this Skill helps define the optimal tool descriptions and parameters to ensure the assistant can accurately query the database without errors.

Quick Start

Use the tool-design skill to create a clear description for a new agent tool that retrieves user profiles.

Frequently Asked Questions about tool-design

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

FAQPage Schema
How do I design agent tools for reliable AI interaction?▼

Design agent tools by focusing on clear descriptions, unambiguous parameters, and effective error handling to ensure non-deterministic agents can reliably interact with deterministic systems.

What is the consolidation principle in agent tool design?▼

The consolidation principle is an architectural reduction approach that simplifies tool sets and reduces ambiguity, ensuring tools remain discoverable and understandable for non-deterministic agents.

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

Define clear tool interfaces and precise parameters to eliminate ambiguity, ensuring language models can accurately execute tasks like database queries without triggering errors.

Why does my AI assistant fail to call agent tools correctly?▼

AI assistants fail to call agent tools correctly when tool interfaces lack clear descriptions and unambiguous parameters, causing confusion at the tool-agent interface and leading to execution errors.

Can I use architectural reduction to simplify a complex tool API?▼

Yes, you can apply architectural reduction to simplify a complex tool API by applying consolidation principles that eliminate overlapping functionalities and reduce the overall tool set size for agents.

Do I need specific frameworks to implement effective error handling for agent tools?▼

No specific frameworks are required; effective error handling for agent tools relies on designing robust tool descriptions and clear interfaces that handle failures gracefully, independent of external dependencies.

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