Two tools with complete input schemas and reasonable descriptions. Both tools follow verb_noun naming (search_flights, search_dates). Schemas include type definitions and parameter descriptions. However, descriptions are generic and lack actionable context for LLM selection. Output schemas are not documented. No error handling guidance. Parameters lack constraints (enums, ranges) that would prevent invalid LLM inputs. Missing idempotency and retry guidance for read-only operations.

• Document output schema for both tools. Specify fields returned (e.g., flight_id, airline, price, departure_time, arrival_time, stops, booking_url) so LLMs know what data is available for downstream reasoning.
• Convert categorical parameters to enums: cabin_class → enum [ECONOMY, PREMIUM_ECONOMY, BUSINESS, FIRST]; max_stops → enum [ANY, NON_STOP, ONE_STOP, TWO_PLUS_STOPS]; sort_by → enum [CHEAPEST, DURATION, DEPARTURE_TIME, ARRIVAL_TIME].
• Enhance tool descriptions with selection guidance. E.g., 'Use search_flights to find flights on a specific date with filters. Use search_dates to find the cheapest travel dates within a range. Returns structured flight objects with price, airline, departure/arrival times, and direct booking links.'
• Add error handling guidance in descriptions: 'If no flights found, try expanding date range or removing filters. If airport code invalid, use IATA codes (e.g., JFK, LAX, LHR).'
• Add min/max constraints to numeric parameters: passengers (1 - 9), and validate date formats (YYYY-MM-DD) with clear error messages if invalid.