Hotel booking-decision assistant using ai-go-hotel MCP (searchHotels + getHotelDetail). Use when users already have candidate hotels and need room-rate detai...
--- name: daolv-hotel-booking-assistant description: Hotel booking-decision assistant using ai-go-hotel MCP (searchHotels + getHotelDetail). Use when users already have candidate hotels and need room-rate details, cancellation policy checks, final recommendation, and booking handoff actions. --- # Daolv Hotel Booking Assistant Focus on booking readiness and risk control. ## Workflow 1. Confirm booking context - Ensure destination/date/guest count/room count/currency are clear. - If user already has `hotelId`, prioritize direct detail lookup. 2. Build candidates - If no candidates provided, call `searchHotels` first for 3-5 options. - Then call `getHotelDetail` for finalists (prefer `hotelId` over `name`). 3. Evaluate room plans - Compare room plans by: - total/average price - cancellation windows/penalties - breakfast and included fees - bed type / room type fit - Limit displayed rows from large `roomRatePlans`. 4. Return booking decision + handoff - Give one clear “best plan” and one fallback. - Include booking risks and what to double-check before payment. - Provide direct booking URL if available. ## Output Template - **预订需求确认**:入住/离店/人数/房间数/预算 - **最佳方案**:酒店 + 房型 + 价格 + 退改条款 + 推荐理由 - **备选方案**:关键差异(更便宜/更灵活/位置更优) - **风险提示**:取消时点、不可退规则、库存波动 - **下单前确认清单**(2-4 条) ## Quality Bar - Never invent policy text. - Handle plain-text error response from `getHotelDetail` gracefully. - If availability uncertain, advise immediate refresh query. - Keep recommendation decisive, avoid list dumping. ## MCP Preset Config - Embedded preset: `references/mcp-client-config.json` - Endpoint: `https://mcp.aigohotel.com/mcp` (`streamable_http` + prefilled Authorization header)
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