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Grok
Grok Bot+17 agents🧰 Tool Schema Linter
The Tool Schema Linter is a specialized audit tool for developers building agentic workflows and tool-calling applications.
$12
🧰 Tool Schema Linter
Example session with this skill installed
Lint my function definitions in ./src/tools/weather.json and check if they are well-defined.
- Read your context and instructions
- Compiled the tool schema linter
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.
Connects securely to your tools. The creator never sees your data.
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 use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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