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Travel Booking Com Reviews

travel_booking_com_reviews
Read-only

Booking.com guest reviews featured on a city page (e.g. us / new-york): hotel reviews with hotel name, hotel guest score and review count, reviewer name, country and traveller type; guests' reviews of the city itself (score out of 10); and the highlighted review of each top hotel. Typically 10-25 reviews in total; it is the selection Booking.com shows on the city page, not a hotel's full review history. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
cityYesCity as in Booking.com city URLs, e.g. new-york, paris, barcelona
countryYesTwo-letter country code as in Booking.com city URLs, e.g. us, fr, gb

Output Schema

NameRequiredDescriptionDefault
cityNo
countsNo
sourceNo
countryNo
checkedAtNo
cityReviewsNo
highlightedNo
hotelReviewsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare read-only and open-world, so the description's real contribution is cost and payment behavior: $0.002 USDC per successful call via x402 on Base/Solana/Arc, with failed calls not charged. It also discloses the data-selection caveat (typically 10-25 reviews, city-page selection only), which matters for interpreting completeness. It stops short of describing what happens on an unknown city/country.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the resource definition, then the returned data, then the volume caveat, then price — a sensible order with no filler. The single price sentence is terse and earns its place given a metered API.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the field enumeration is arguably redundant, but the description still covers the essentials an agent needs: what slice of reviews is returned, expected volume, and billing. Only missing element is error behavior for invalid country/city slugs, which is minor for a read-only, schema-complete tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters are already documented with Booking.com URL-slug examples. The description only echoes that format in its parenthetical '(e.g. us / new-york)' and adds no syntax, casing, or validation guidance beyond the schema. Baseline 3 applies when the schema carries the semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete resource and scope: Booking.com guest reviews shown on a city page, enumerating the three review types returned (hotel reviews, city reviews, highlighted reviews). It also bounds the scope ('not a hotel's full review history'), which prevents confusion with a hotel-detail sibling, though it never names travel_booking_com_hotels or travel_airbnb_reviews explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the scope statement ('the selection Booking.com shows on the city page'), and the 'not a full review history' line works as a soft when-not. But there is no explicit statement of when to prefer this over travel_booking_com_hotels or travel_airbnb_reviews, and no prerequisites or failure conditions for bad country/city codes.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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