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Google Hotels MCP

Get Google Hotels Property Reviews (SerpAPI)

google_hotels_reviews

Fetch reviews for a single Google Hotels property via SerpAPI. Requires a property_token taken from a google_hotels_search result. Filter by category_token or source_number, order with sort_by, and paginate with next_page_token.

Input Schema

NameRequiredDescriptionDefault
hlNoLanguage code, e.g. 'en', 'es', 'pt-br'.
sort_byNoSort order: 1 = most helpful, 2 = most recent, 3 = highest rating, 4 = lowest rating.
no_cacheNoForce a fresh SerpAPI fetch and bypass this server's result cache. Default false.
zero_traceNoEnterprise-only ZeroTrace mode: don't store search params/metadata on SerpAPI. Default false.
source_numberNoFilter reviews by a specific review source (provider) number, as listed in a prior response.
category_tokenNoToken to filter reviews by a category/topic (from a prior reviews response).
property_tokenYesProperty token from a google_hotels_search result identifying the property whose reviews to fetch.
next_page_tokenNoToken from a prior response to fetch the next page of reviews.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. 'Fetch' implies a read-only call, but caching behavior (no_cache), ZeroTrace mode, rate limits, and what the response contains are only documented in the schema or not at all.

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?

Three tight sentences, front-loaded with the core action and the hard prerequisite, followed by the optional knobs. No filler.

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

Completeness3/5

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

With 8 parameters, no annotations, and no output schema, the description should say more about what comes back (review objects plus tokens for subsequent calls) and the caching/ZeroTrace tradeoffs. It covers the call path adequately but leaves the result shape opaque.

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 every parameter is already documented structurally. The description mostly restates that role (filter by category_token/source_number, sort_by, next_page_token) without adding syntax, valid-value, or interaction detail beyond the schema, which is the correct baseline.

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 specific verb and resource ('Fetch reviews for a single Google Hotels property via SerpAPI') and ties the tool to its sibling by requiring a property_token from a google_hotels_search result. It is clearly distinguishable from google_hotels_photos and google_hotels_search, though the sibling routing is implied rather than stated.

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 clear precondition (must first obtain a property_token from google_hotels_search) and outlines the optional workflows: filter, sort, paginate. It stops short of explicit when-not-to-use guidance, but there are no competing review tools to disambiguate against.

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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