tool-design

Design tool APIs with clear contracts and architectural reduction patterns.

7|2|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/LuisSambrano/antigravity-config --skill tool-design-luissambrano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tool-design
Source: https://github.com/LuisSambrano/antigravity-config/tree/main/skills/2-ai/tool-design
Command: npx skills add https://github.com/LuisSambrano/antigravity-config --skill tool-design-luissambrano

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance on designing and building effective tools that AI agents can use, focusing on clear contracts, efficient descriptions, and architectural reduction patterns to improve agent performance and reliability.

Core Features & Use Cases

  • Tool API Design: Learn principles for creating unambiguous tool descriptions and interfaces tailored for language models.
  • Consolidation Principle: Understand how to combine multiple narrow tools into single, comprehensive ones to reduce agent confusion and context load.
  • Architectural Reduction: Explore using primitive, general-purpose tools (like file system access) instead of complex, specialized ones.
  • Use Case: When developing a new feature that requires an agent to interact with a database, use this skill to design the optimal tool interface that clearly defines its purpose, parameters, and expected outputs, ensuring the agent can use it reliably.

Quick Start

Use the tool-design skill to learn how to create clear descriptions for agent tools.

Frequently Asked Questions about tool-design

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

FAQPage Schema
What is the consolidation principle for designing AI agent tools?

The consolidation principle combines multiple narrow tools into single, comprehensive ones to reduce agent confusion and context load. This architectural reduction minimizes failure modes by simplifying the decision space the agent must navigate.

How do I design clear API contracts for agent tools?

Designing clear API contracts requires creating unambiguous tool descriptions and interfaces specifically tailored for language models. You must define precise purposes, parameters, and expected outputs so the agent can use the tool reliably without guessing.

When should I use primitive tools instead of specialized tools for AI agents?

Use primitive, general-purpose tools like file system access instead of complex, specialized ones when you want to apply architectural reduction patterns. This approach leverages broad capabilities to handle diverse interactions without bloating the toolset.

Why does my AI agent fail to use my custom tools correctly?

Agent tool usage fails when tool descriptions and interfaces lack clear contracts and unambiguous definitions. Optimizing prompt engineering and agent reasoning ensures the language model understands the exact purpose, parameters, and expected outputs.

Do I need prompt engineering knowledge to build effective agent tools?

Yes, understanding prompt engineering and agent reasoning is required to optimize tool usage and minimize failure modes. This knowledge ensures you create interfaces and descriptions that language models can interpret and execute reliably.

What is the best way to reduce context load when adding database interaction tools to an agent?

The best way to reduce context load is applying the consolidation principle to merge multiple narrow database tools into a single, comprehensive interface. This architectural reduction creates clear contracts that ensure reliable agent interaction.