The server defines 5 tools with generally adequate naming and descriptions, but has moderate gaps in schema completeness and error handling guidance. Tool names follow verb_noun convention (search_, get_) which is good. Descriptions are present and substantive (140-220 chars typical), meeting the 10-1024 char baseline. However, parameter descriptions are sparse or missing in several tools, and output schemas are completely undocumented, LLMs cannot reason about return structures. The RAG tool is ambitious but underspecified. Error handling is minimal; no recovery guidance or actionable error messages are evident. Schema validation exists via Zod (server-side) but is not visible to clients. Overall definition quality is above average for STDIO servers but below production A-grade standards.

• Document output schema for each tool. Include a JSON example or formal schema showing: field names, types (string, number, array, object), whether arrays are paginated, what IDs are returned for chaining, and total count or cursor for pagination. Example for search_drug_labels: { results: [{ drug_name: string, manufacturer: string, indications: string, ... }], meta: { total: number, skip: number, limit: number } }
• Clarify ae_pipeline_rag input requirements. State which of query/drug/condition are required, which are optional, and what happens if all are omitted. Add: 'If drug is specified, the query and condition are optional filters. If drug is omitted, query is required.'
• Add pagination to get_drug_adverse_reactions, get_drug_warnings, get_drug_indications. Accept offset/skip and limit (1-50, default 10). Return total_count in response so LLMs know if results were truncated and can fetch more.
• Implement error handling with recovery guidance. Wrap API calls in try-catch. Return structured error responses: { error: string, code: string, retryable: boolean, nextSteps: string }. Example: { error: 'Drug not found: aspirin', code: 'NOT_FOUND', retryable: false, nextSteps: 'Try search_drug_labels to find the correct drug name.' }
• Replace example values in descriptions with formal constraints. Instead of 'Example: openfda.brand_name:tylenol', move to schema constraint or enum, or explain the syntax inline without suggesting it as the primary use case.
• For search_drug_labels, clarify the 'count' parameter. State whether it groups results by a field, returns frequency, or something else. If it performs aggregation, rename to 'group_by' or 'aggregate_by' for clarity.