Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa
5.7
Rating
0
Installs
AI & LLM
Category
The skill addresses a genuinely valuable and novel problem - designing AI agent tools with proper schemas and descriptions - that would consume many tokens if attempted through general prompting. However, the SKILL.md is incomplete: sections are cut off mid-sentence (description field, 'explicit error hand'), and critical sections (Patterns, Anti-Patterns) are skeleton outlines without actual implementation details, examples, or actionable guidance. The description is clear enough to understand what the skill does, but lacks the depth needed for a CLI agent to invoke it effectively. To score higher, it needs complete pattern implementations with concrete JSON Schema examples, complete anti-pattern explanations, and detailed guidance on MCP standards, description writing techniques, and validation approaches.
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