Travelio has 6 tools with basic schemas and descriptions, but significant gaps prevent higher scores. All tools have descriptions (10-100 chars, mostly adequate) and input schemas with type definitions. However, parameter descriptions are minimal or missing context. Output schemas are undocumented, LLMs cannot plan downstream calls or extract chaining IDs. No error handling guidance, no enum constraints on filter objects, and no pagination support for list-returning tools (get_destinations, get_attractions, get_hotels). The create_itinerary tool modifies state but lacks confirmation/dry-run patterns. Tool naming is clear (verb_noun), but composition issues exist: cluster_attractions and create_itinerary both perform clustering internally, risking duplication. No tool annotations (readOnlyHint/destructiveHint) despite clear risk levels.

• Document output schemas for all tools. E.g., get_destinations returns [{id: int, name: str, description: str, latitude: float, longitude: float}]. Include all fields agents need for downstream calls.
• Replace Dict filter parameters with explicit, typed parameters or enums. E.g., get_attractions(destination_id, category: enum[museum|park|restaurant|...], min_rating: float, max_price: float).
• Add pagination to list-returning tools: limit (1-100, default 20), offset (default 0), and return {items: [...], total: int, has_more: bool}. Cap results at 50 per the rubric baseline.
• Add confirmation/dry-run to create_itinerary. Return a preview with estimated cost, duration, and attractions before saving. Require explicit confirm=true to persist.
• Add tool annotations via FastMCP metadata. Mark get_* tools with readOnlyHint=true, create_itinerary with destructiveHint=true (modifies database).