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Daolv Hotel Booking Assistant

Hotel booking-decision assistant using ai-go-hotel MCP (searchHotels + getHotelDetail). Use when users already have candidate hotels and need room-rate detai...
酒店预订决策助手,使用 ai-go-hotel MCP(searchHotels + getHotelDetail)。适用于用户已有候选酒店并需要获取房价详情的场景。
cnchenkai
未分类 clawhub v0.1.0 1 版本 100000 Key: 无需
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概述

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.
  1. Build candidates
    • If no candidates provided, call searchHotels first for 3-5 options.
    • Then call getHotelDetail for finalists (prefer hotelId over name).
  1. 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.
  1. 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)

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-05-12 05:59 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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