Three tools with solid naming (verb_noun convention), comprehensive parameter schemas, and clear descriptions. All tools are read-only with well-defined structured inputs. Schemas are properly typed with Pydantic models. Main gaps: no output schema documentation visible, missing error handling guidance, no tool annotations (readonly hints), and descriptions could be more concise per token-efficiency best practices. Composition is sound, tools follow a logical search→detail→metadata pattern.

• Document the return type for each tool. Example for searchHotels: 'Returns: {hotelId (int), name (string), lowestPrice (float), location (string), starRating (float), ...}'. This enables agents to chain hotelId into getHotelDetail without guessing field names.
• Add tool annotations to all three tools in the FastMCP registration. Example: @mcp.tool(name='searchHotels', annotations={'readOnlyHint': True}). This signals to MCP clients that the tools are safe to call speculatively (no side effects).
• Enhance error messages in client.py and auth.py with recovery hints. Example: Instead of 'HTTP request failed (status 401)', return 'Authentication failed. Verify your API key in the Authorization header.' For 404 or no results, suggest 'No hotels found. Try a larger search radius or different dates.'
• Clarify optional parameters in getHotelDetail description. State explicitly: 'Either hotelId or name is required; if both provided, hotelId is used. dateParam and occupancyParam default to current/standard values if omitted; localeParam defaults to US/USD.'
• Trim description verbosity. Current descriptions average 150 chars; reduce to 80-120 chars by removing internal details ('AI cache', 'second price check') and focusing on agent-facing purpose.
• Add response field naming alignment: if searchHotels returns 'hotelId', ensure getHotelDetail accepts 'hotelId' as its parameter (currently it does, good). Verify field names are consistent across all three tools to enable fluent chaining.