Hotel search and shortlist comparison using the ai-go-hotel MCP server (getHotelSearchTags, searchHotels). Use when users need fast hotel discovery by city/P...
--- name: daolv-hotel-search description: Hotel search and shortlist comparison using the ai-go-hotel MCP server (getHotelSearchTags, searchHotels). Use when users need fast hotel discovery by city/POI/date/budget/amenities/brand, but do not yet need full booking-room confirmation. --- # Daolv Hotel Search Focus on fast discovery and clean shortlist output. ## Workflow 1. Capture search intent - Extract destination, check-in date, nights, guests, budget, star range, distance preference, amenities, brand preferences. - Ask only minimal missing questions. 2. Prime tags once - Call `ai-go-hotel.getHotelSearchTags` once per task. - Map user intent into `hotelTags.requiredTags` / `preferredTags` / `excludedTags`. 3. Run hotel search - Call `ai-go-hotel.searchHotels` with required fields: - `originQuery`, `place`, `placeType` - Include optional fields when available: - `checkInDate`, `stayNights`, `adultCount`, `countryCode`, `starRatings`, `distanceInMeter`, `size`, `hotelTags` - Prefer `size=10` first, then narrow to top 3-5. 4. Return shortlist only - Output: 1 recommended + 2 alternatives. - Include quick trade-off: price / location / amenities / star. - Do not deep-dive room plans unless user asks to proceed to booking. ## Output Template - **搜索条件**:地点 / 日期 / 人数 / 预算 / 偏好 - **首选酒店**:价格区间、位置、标签命中、推荐理由 - **备选 1-2**:同结构 - **下一步**:是否进入“房型与退改细节”阶段 ## Quality Bar - Use concrete numbers when available. - Use `price.lowestPrice` + `price.currency` (price is object). - If price missing/null, mark as “需二次查价”. - Keep output concise and decision-oriented. ## 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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