NoteSentry provides 13 tools across clinical, MIMIC database, FHIR, and pharmacy domains. All tools have descriptions (mostly 50-200 chars, well-suited for LLM selection). Input schemas are present and properly typed with JSON Schema. However, several tools lack parameter descriptions, and output schemas are not documented. Tool naming is clear and verb-driven (assess_, get_, list_, search_, check_). Error handling guidance is minimal. Composition is sound, tools chain well (search_notes → get_note_text). No security issues detected (read-only operations, no secrets in params). Descriptions are domain-specific and actionable, but some parameter constraints are missing (e.g., limit bounds, enum values for categories).

• Document output schemas for all tools. E.g., search_notes returns [{row_id: int, subject_id: int, category: string, date: ISO8601, snippet: string}]. This enables LLMs to chain tools correctly.
• Add enum constraints to category, note_type, and resource_type parameters. Replace free-form strings with explicit allowed values (e.g., category: enum[Nursing, Radiology, Physician, ...]).
• Add min/max bounds to numeric parameters. E.g., limit: integer, minimum: 1, maximum: 50; max_chars: integer, minimum: 100, maximum: 50000.
• Include chaining hints in descriptions. E.g., get_note_text: 'Requires row_id from search_notes() or get_patient_overview(). Returns full text and metadata.'
• Add error response examples. E.g., 'If subject_id not found, returns {error: "Patient not found", suggestion: "Try search_notes() with chief_complaint"}' to guide LLM recovery.