This server has critical definition quality gaps. All 6 tools lack proper parameter type annotations in their descriptions (e.g., get_weather and get_coordinates have no type hints visible in docstrings). The 'sub' tool has a logic bug (returns a+b instead of a-b), indicating lack of testing. Tool descriptions are present but minimal (10-50 chars), below the 50-200 char baseline for LLM-optimized descriptions. No output schemas are documented. Parameter descriptions exist but are sparse. The 'get_llm_model_name' tool is semantically confused, it accepts a model_name string and returns it, which is not a useful tool. No error handling, validation, or recovery guidance.

• Fix the 'sub' tool: change 'return a + b' to 'return a - b'. Add unit tests for all math tools.
• Redefine or remove 'get_llm_model_name'. If the intent is to select an LLM based on task type, create a tool that takes a task description and returns the recommended model name, not a passthrough.
• Expand tool descriptions to 50-200 chars. Example: 'add: Add two integers and return the sum. Use when the user asks for arithmetic addition. Returns an integer.' Include WHEN to use and WHAT is returned.
• Document output schemas for all tools. E.g., add returns {type: integer}, get_weather returns {temperature: number, unit: string}. This enables LLMs to chain tools correctly.
• Add error handling: wrap external API calls (get_weather, get_coordinates) in try-catch blocks. Return structured errors like {error: 'Invalid coordinates', suggestion: 'Latitude must be -90 to 90, longitude -180 to 180'} instead of silent failures.