This healthcare MCP server demonstrates solid foundational structure with 15 well-defined tools across patient data access, medical literature search, and drug information. All tools have explicit names, descriptions, and input schemas defined in src/server/constants/tools.ts. However, several dimension 1 gaps prevent higher scoring: (1) Output schemas are completely undocumented, no tool definition includes what fields will be returned, forcing LLMs to guess at response structure; (2) Parameter descriptions are sparse or generic, most parameters like 'patientId' lack context about format or validation; (3) No error handling guidance is evident in tool definitions; (4) Most parameter descriptions under 50 chars lack the actionable context (format, constraints, examples) needed for robust LLM reasoning. The tool set is well-composed (clear verb_noun naming, single responsibility), but lacks the depth of documentation required for A-grade production use. Average tool score is 58, dragged down primarily by missing output schemas and shallow parameter annotations.

• Document output schemas for all 15 tools. Include examples of what fields are returned, their types, and whether results are paginated. Example: 'Returns array of Observation objects with fields: id (string), code (LOINC string), value (number|string), unit (string), effectiveDateTime (ISO 8601), status (enum). Limited to 50 results; use limit parameter for pagination.'
• Add descriptions to all parameters lacking them. For 'patientId', describe format: 'FHIR Patient resource ID (UUID or MRN identifier)'
• Add format and validation guidance to enum parameters. Instead of 'status: {enum: [...]}', use 'status (one of: active, inactive, resolved, active means currently ongoing, inactive means past but not resolved, resolved means fully treated)'
• Add pagination support to list-returning tools. Add optional parameters: 'limit (1-100, default 20) and offset (0-based) or cursor. Return total_count and next_cursor for continuation.'
• Add error guidance to descriptions. Example: 'If patientId not found, returns 404. Try find_patient() first if you only have demographics.'
• Standardize parameter naming to underscore convention for consistency: search_pubmed, search_trials, get_drug_info.
• Expand tool descriptions to 100-150 chars explaining WHEN to call each tool and WHAT signals to use it. Example: 'Get all recorded observations (vitals, labs) for a patient within an optional date range. Use when building a patient summary or checking specific lab codes.'
• Consider adding tool annotations (readOnlyHint, idempotentHint) to signal safety properties to agents. All 15 tools are READ_ONLY; declaring this with tool annotations helps agents reason about retry safety.

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

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