Hotel Concierge MCP has clear, well-structured tool definitions with complete input schemas and descriptions. All 5 tools follow verb_noun naming (check_availability, make_reservation, get_reservation, cancel_reservation, submit_service_request). Descriptions are present and actionable (avg ~80 chars). However, critical gaps exist: (1) No output schemas documented, LLMs cannot predict response structure for downstream chaining; (2) Enum constraints missing, room_type and request_type accept free-form strings instead of constrained enums; (3) No error recovery guidance, error messages are bare strings without actionable next steps; (4) No idempotency or confirmation patterns for destructive operations (cancel_reservation); (5) Parameter descriptions lack format/constraint details (e.g., date format stated in docstring but not param description). Schemas are present and typed, but output documentation is absent.

• Add explicit output schemas to all tools. Document response fields, types, and structure. Example: check_availability returns {available_rooms: [{room_type, rate, amenities, count}], total_nights: int}.
• Convert room_type parameter to enum: ['standard', 'deluxe', 'suite', 'family']. Convert request_type to enum: ['room_service', 'housekeeping', 'maintenance', 'concierge']. This prevents hallucinated values.
• Enhance error messages with recovery guidance. E.g., 'No {room_type} rooms available for {dates}. Try: (1) alternative dates, (2) different room type, or (3) call check_availability to see all options.'
• Add confirmation step to cancel_reservation. Return a dry-run response with cancellation details and ask user to confirm before executing. Prevents accidental cancellations.
• Move parameter constraints from docstrings into schema descriptions. Ensure every param description includes format, range, or enum values. LLMs read schema descriptions, not docstrings.