MiniClaw is a LangGraph-based agent framework with 6 tools, but the source code provided contains only configuration files (pyproject.toml, package.json, requirements.txt) and a partial tool execution node (src/agent_loop/nodes/tools.py). No explicit tool definitions, schemas, or parameter documentation are visible in the provided code. Tool names are inferred from the hardcoded registry in tools.py lines 63-69. Without access to the actual tool implementation files (src/tools/tavily.py, src/tools/think.py, src/tools/weather.py, src/tools/news.py), parameter schemas cannot be verified. The tool execution node shows dynamic tool loading but no evidence of JSON Schema definitions, parameter descriptions, or output schemas. The descriptions provided in the task ('Search tool via Tavily API', 'Thinking/reasoning tool', etc.) are extremely brief and appear to be inferred, not from actual docstrings.

• Provide explicit JSON Schema for each tool's input parameters. Include type definitions, minimum/maximum for numerics, enum constraints for fixed options, and descriptions for every parameter. Reference: pattern:constrained-input
• Expand tool descriptions to 50-200 characters (production baseline 194 chars). Answer: (1) What does this tool do? (2) When should the LLM call it instead of similar tools? (3) What does it return? Example: 'Search the web using Tavily API for real-time information. Use this when you need current news, facts, or web content not in training data. Returns array of results with url, title, snippet, and relevance score.'
• Document output schema for each tool. Specify return type (object/array/string), field names, types, and example values. Example for tavily: {type: object, properties: {results: {type: array, items: {type: object, properties: {url: {type: string}, title: {type: string}, snippet: {type: string}, score: {type: number}}}}}
• Remove duplicate tools (fetch_weather, fetch_news). Keep canonical names (get_weather, get_news) with clear verb_noun naming. If aliases are needed, handle them internally, not as separate MCP tools.
• Enhance error messages with recovery guidance. Instead of 'Error: tavily failed: timeout', return: 'Tavily API timeout (exceeded 10s). This is retryable, try again or use a simpler query with fewer search terms.' Reference: pattern:recovery-guide
• Add parameter validation descriptions. Example for weather: location parameter must be a city name or coordinates (lat,lon). If user provides vague input like 'here', ask clarifying questions before calling tool.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry