Single tool 'generate_synthetic_cohort' has a reasonable name and input schema with proper type definitions and descriptions. However, the description is generic and lacks critical context about when/why to use it, and no output schema is documented. The server lacks error handling guidance, parameter constraints (enums/ranges), and information about what the tool returns. Parameter descriptions are adequate but somewhat terse. Overall fits C+ territory, functional but incomplete.

• Add explicit output schema to tool definition. Document the structure of the returned cohort: e.g., { patients: [{ patient_id, age, gender, condition, comorbidities, ... }], count: int, generated_at: ISO8601 }
• Expand tool description to 100 - 200 characters explaining use case, when to call, and what the output represents. Example: 'Generate a realistic synthetic medical cohort for testing, training, or research. Returns patient records with specified conditions, age ranges, and demographics. Useful for algorithm validation without real patient data.'
• Add numeric constraints to parameters. For 'count': min=1, max=10000 (or appropriate limit). For 'age_min' and 'age_max': min=0, max=120, and add note 'age_min must be ≤ age_max'. For 'seed': document that same seed produces same cohort (idempotent).
• Enhance 'condition' parameter description: 'ICD-10 diagnosis code (e.g. E11.9 for Type 2 Diabetes). Common codes: E11.9 (diabetes), I10 (hypertension), J45.9 (asthma). Invalid codes return an error with available alternatives.'
• Add error handling to tool description: 'Returns 400 if condition code is invalid or unsupported. Returns 429 if cohort generation limit exceeded. Returns 500 for internal errors; retry with exponential backoff.'
• Document output fields with types and meanings. Example: 'patient_id (string): UUID for each patient. age (integer): generated age within specified range. synthetic (boolean): always true, marks data as synthetic.'
• Add idempotent hint: 'Calling with the same parameters and seed always produces the same cohort, making this tool safe to retry.'