Strong foundation with well-structured tool definitions, comprehensive schemas, and proper use of tool annotations. All 6 tools have clear descriptions (avg 150 chars), complete input schemas with type hints and Field descriptions, and appropriate risk classifications. Pydantic models ensure output schemas are documented. Main gaps: parameter descriptions could be more prescriptive about constraints and error recovery; no batch variants for common multi-call patterns; error messages lack recovery guidance.

• Enhance error messages with recovery guidance: 'Provide either note_id or title. Use search_notes() to find a note by keyword if you don't know the ID.'
• Add batch_add_notes(notes: list[{title, body, tags}]) and batch_delete_notes(note_ids: list[int]) to reduce sequential calls for multi-note operations.
• Replace example values in descriptions with formal constraints: use enums for tag categories if they're known, or document valid tag patterns (e.g., 'lowercase, alphanumeric, max 20 chars').
• Implement a confirm_delete_note(note_id: int) → {confirmed: bool} pattern or add a dry_run parameter to delete_note to prevent accidental irreversible deletions.
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport to enable remote accessibility and compatibility with hosted MCP clients.