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🧰 Tool Schema Linter
The Tool Schema Linter is a specialized audit tool for developers building agentic workflows and tool-calling applications.
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See it in action
You say
Lint my function definitions in ./src/tools/weather.json and check if they are well-defined.
Your agent does
Found 3 issues in weather.json:
- [TSL002] Severity: High | Param 'unit' in 'get_weather' missing description.
- [TSL008] Severity: Med | Param 'location' is free-form; recommend adding 'examples' or boundaries.
- [TSL004] Severity: Low | 'get_temp' and 'get_weather' have overlapping purposes.
What you get
About this skill
What it does
The Tool Schema Linter is a specialized audit tool for developers building agentic workflows and tool-calling applications. It analyzes your JSON function definitions against a rigorous set of rules designed to prevent LLM hallucinations, "lazy" tool selection, and security risks. By scanning your schema files, it identifies missing descriptions, untyped parameters, and overlapping tool signatures that often cause agents to fail in production.
Why use this skill
Writing perfect function schemas for LLMs is tedious and error-prone. While a basic prompt might catch a missing comma, this skill uses a structured heuristic engine to find logical flaws, such as too many tools for a single context window or free-form parameters that should be bounded to an enum for reliability. It saves hours of debugging "why the agent didn't call the right tool" by ensuring your definitions are mathematically and semantically sound.
Supported tools
- Standard JSON function-calling schemas (OpenAI, Anthropic, Gemini formats)
- Local tool definition files (.json, .tool.json)
- Standard input streams for CI/CD integration
- Customizable rule thresholds via reference JSON files
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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