The Healthcare MCP server presents 9 tools with mixed quality. All tools have descriptions (10-50 chars), but they are uniformly brief and lack actionable detail for LLM selection. Input schemas are present and structured, but parameter descriptions are minimal. No output schemas are documented. Error handling exists at the implementation level (base-tool.js shows formatErrorResponse), but tools do not guide recovery or classify errors as retryable/fatal. The codebase is well-organized with a BaseTool abstraction and caching, but lacks domain-specific patterns from the 54 Agentic Tool Patterns, no composition hints, no pagination guidance, no permission gates despite medical data sensitivity, and no confirmation steps for irreversible operations (though all 9 tools are READ_ONLY, which is correct). Parameter names are generally clear (fda_drug_lookup, pubmed_search, clinical_trials_search), but descriptions are too sparse to guide an LLM toward correct usage. No tool combines related operations (e.g., all search/lookup tools are separate, which is good), and composition is simple. Critical gaps: no output schema documentation, no recovery guidance in error messages, minimal parameter descriptions, and no security/audit logging despite healthcare domain sensitivity.

• Document the output schema for every tool. For example, pubmed_search should specify: 'Returns an object with {status: 'success', results: Array<{id: string, title: string, authors: Array<string>, year: number, abstract: string}>, total_count: number, has_more: boolean}'.
• Expand tool descriptions to 100-250 chars following the pattern: 'WHAT: Search FDA drug labels and adverse event reports. WHEN: Use to find FDA-approved information, side effects, and warning labels. HOW: Supports exact match (label), side effect search (adverse_events), and general drug info (general). Returns structured data with drug name, approval status, and key warnings.'
• Add WHEN-to-use hints to each parameter description. E.g., for search_type: 'Use label to find official FDA labeling information; use adverse_events to search reported side effects; use general for broad drug summaries.'
• Classify errors in responses. Return {status: 'error', error_type: 'not_found|invalid_input|service_unavailable|timeout', message: '...', recovery_hint: 'Try search_pubmed with a broader query if results are empty'}. This lets agents decide on retry vs user intervention.
• Add permission/scope declarations as comments in tool definitions. E.g., 'Scope: read:fda_data'. Consider implementing a scope-check wrapper if the MCP server is shared across teams.
• For search tools (pubmed_search, medrxiv_search, clinical_trials_search), add offset/page_token parameters and document pagination. Return {results: [...], total_count: N, next_cursor: 'abc123'} so agents can loop.