Booking MCP
Server Details
Experimental Booking.com hotel search: nightly price, rating, stars and booking link.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 1 tool
There is only one tool, so there is no direct overlap or selection ambiguity within the set. However, the description references an absent alternative (`google_hotels_search`), which adds minor confusion about what this server actually offers.
The single tool name `booking_search_hotels` is readable and follows a clear prefix_action_noun pattern. With only one tool there is no broader naming convention to verify, so it cannot earn a full score.
A server named Booking MCP with only one experimental search tool is far too thin for the apparent domain. Hotel search alone does not cover the booking lifecycle implied by the server name.
The surface covers only a single experimental hotel search scrape, with no hotel detail lookup, availability checks, booking actions, or other Booking.com verticals. This leaves major gaps for any real booking workflow.
Available Tools
1 toolbooking_search_hotelsSearch Booking.com hotels (experimental)AInspect
EXPERIMENTAL: hotels on Booking.com for a location and stay window, scraped from the search-results page: name, nightly price, review score + count, star class, image and a direct booking link per property. Booking sits behind AWS WAF, so the call may return a blocked error — google_hotels_search is the reliable alternative (and covers Booking's prices among OTAs). Result shape: { source, fetchedAt, experimental, query, search_url, location, checkin, checkout, currency, count, hotels: [...] } — the list key is hotels. Each hotel: { name, price_per_night, currency, rating, reviews, hotel_class, booking_url, thumbnail } (fields are null when Booking omits them).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max hotels to return (default 25). | |
| rooms | No | Number of rooms. Default 1. | |
| adults | No | Number of adults. Default 2. | |
| checkin | Yes | Check-in date, YYYY-MM-DD. | |
| checkout | Yes | Check-out date, YYYY-MM-DD. | |
| currency | No | ISO currency for prices (e.g. 'PLN', 'EUR'). Omit for Booking's default for the region. | |
| location | Yes | Free-text location, e.g. 'Warsaw' or 'Zakopane, Poland'. | |
| no_cache | No | Force a fresh Booking.com fetch and bypass this server's result cache. Default false. |
Output Schema
| Name | Required | Description |
|---|---|---|
| count | Yes | |
| query | Yes | |
| hotels | Yes | |
| source | Yes | |
| checkin | Yes | |
| checkout | Yes | |
| currency | Yes | |
| location | Yes | |
| fetchedAt | Yes | |
| search_url | Yes | |
| experimental | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does substantial work: it discloses the experimental/scraped provenance, the WAF blocking failure mode, that fields are null when Booking omits them, and that results may be cached (via no_cache). It does not mention rate limits, cache TTL, or what the 'blocked error' looks like, which keeps it below a 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The EXPERIMENTAL warning and the sibling routing are correctly front-loaded, which is the right priority. However, the two full result-shape enumerations duplicate the output schema that already exists, and that block occupies roughly half the description without adding information an agent doesn't already have structurally.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For an experimental scraper with 8 parameters and no annotations, the description supplies everything needed to call it correctly and to interpret a failure: provenance, blocking risk, the fallback tool, nullability of fields, and cache bypass. Return values are covered by an output schema, so the extra shape listing is redundant rather than missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all 8 parameters including limit, currency, rooms/adults, and no_cache are already documented in the schema. The description adds no parameter-level meaning beyond that (it discusses output fields instead), so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('hotels on Booking.com') scoped to a location and stay window, and enumerates the fields returned per property. It also explicitly contrasts itself with the named alternative google_hotels_search, so an agent can route without opening either schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives a concrete condition for preferring the alternative: Booking sits behind AWS WAF and this call may return a blocked error, while google_hotels_search is 'the reliable alternative'. It stops short of an explicit 'prefer that tool by default' instruction or guidance on retry behavior, so it is clear context rather than a full when/when-not rule set.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
booking_search_hotels
Related MCP Connectors
Booking.com stays by destination and dates, and full property details, as structured JSON.
Google Hotels search: rates, ratings, amenities and what each booking site charges, as JSON.
Live Google Hotels search: properties with rates and ratings, plus photos and reviews.
31Google Hotels prices for any dates and guests, ratings, amenities and every booking site's price.
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