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scrapeunblocker-mcp-remote

Scrape Booking.com hotels

booking_hotels
Read-only

Searches Booking.com for location and returns the properties as JSON: name, price (with checkin/checkout), reviewScore, address, coordinates, image and a hotel url. Set adults, children, rooms and currency, and collect up to max_results across pages. Prices only appear when check-in/check-out dates are given. Returns JSON. Billed like an API request; listing plugins bill one unit per result page they fetch, so keep max_results modest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roomsNoNumber of rooms.
adultsNoNumber of adults.
checkinNoCheck-in YYYY-MM-DD (needed for prices).
checkoutNoCheck-out YYYY-MM-DD.
childrenNoNumber of children.
currencyNoPrice currency: USD, EUR, GBP, AUD, CAD, CHF, JPY, CNY, INR, BRL, MXN, PLN, SEK, NOK, DKK, AED, SGD, ZAR, TRY, RUB. Default: USD.
locationYesCity or place to search, e.g. 'Austin' or 'Paris'.
max_resultsNoHow many properties to collect across pages. Default: 25.
proxy_countryNoProxy country the request is sent from (ISO-2, e.g. 'US', 'DE').

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already carry the safety profile (readOnly, openWorld, non-destructive), so the bar is lower, yet the description adds genuine operational context beyond them: pagination ('across pages') and the billing/rate model ('billed like an API request', 'one unit per result page'). That billing detail materially affects how an agent should size max_results.

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

Conciseness4/5

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

Front-loaded with purpose, then return shape, then usage tips and billing caveat in a logical order. Slightly redundant: JSON output is mentioned twice ('returns the properties as JSON' and 'Returns JSON'), which costs a little space.

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

Completeness5/5

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

With no output schema, the description correctly carries the return-value burden by listing the returned fields (name, price, reviewScore, address, coordinates, image, url), plus pagination and billing behavior. Nothing an agent needs to call or interpret this tool is missing.

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 coverage is 100%, so every parameter is already documented in the schema. The description restates the tunable knobs (adults, children, rooms, currency, max_results) and the checkin/checkout-for-prices rule, but adds little syntax or constraint information beyond what the schema provides. Baseline 3 applies.

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

Purpose5/5

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

States a specific verb and resource ('Searches Booking.com for `location`') and enumerates the returned fields, so an agent immediately knows what this tool produces. It is the only hotel-scraping sibling, so distinction from the amazon/google/zillow tools is unambiguous.

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

Usage Guidelines4/5

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

Gives a real usage condition: prices only appear when check-in/check-out dates are provided, so an agent knows what to supply to get pricing. It also advises keeping max_results modest. It stops short of naming alternatives, though no close sibling competes with it.

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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