This server has severe definition quality issues. All 4 tools lack proper English descriptions (descriptions are in Chinese, which violates LLM-optimization principles). Tool schemas are present but minimal, most parameters lack type information beyond basic strings/integers. No output schemas are documented. Tool names are inconsistent in style (mix of verb_noun and query_type patterns). The 'get_weather' tool is completely out of scope for a blood cell detection system. No error handling guidance, no parameter constraints (enums), and no indication of what each tool returns. This server would not pass code review.

• Translate all tool descriptions to English and rewrite them as LLM-optimized prompts (50-200 chars). Example: 'Query blood cell detection records by ID or retrieve the latest results. Returns record ID, cell counts, and analysis timestamp.' instead of the current Chinese text.
• Document output schemas for all tools. Specify what fields are returned, their types, and what they mean. Example for query_blood_cell_records: {records: [{id: int, timestamp: string, wbc: int, rbc: int, platelets: int}], total_count: int}
• Remove 'get_weather' tool or clarify its role. If it is truly needed, explain why a blood cell detection system requires weather data. Otherwise, delete it to reduce cognitive load on the LLM.
• Convert free-form string parameters to enums. Change 'query_type' to an enum with values ['latest', 'by_id']. Add 'status' enum to medical report tool if applicable (e.g., ['draft', 'final', 'reviewed']).
• Add error handling guidance to each tool description. Example: 'If record_id is not found, returns error code 404 with message "Record not found. Try query_blood_cell_records(query_type='latest') to see available records."'