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Outscraper MCP

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by outscraper

Google Maps Reviews

google_maps_reviews

Fetch Google Maps reviews by place ID or query to analyze ratings, text, and metadata. Supports async processing for large volumes.

Instructions

Fetch Google Maps reviews for place ids or place queries.

Best for:

  • review analysis

  • recent-review monitoring

  • targeted review extraction for specific places

Prefer this tool when:

  • the user needs review text, review counts, or review metadata

  • you already know the place or can identify it from a query

  • async polling is acceptable for heavier review jobs

Use async mode when:

  • review volume is large

  • you query many places in one request

  • you want to poll progress later with requests_get

Do not use this for basic place discovery:

  • use google_maps_search first

  • then use google_maps_reviews once you know the target place or query set

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoReview sorting mode.
asyncNoDeprecated compatibility flag. Prefer execution_mode.
limitNoMaximum number of places to process.
queryYesOne or more place ids or Google Maps business queries.
startNoStart date or offset accepted by Outscraper.
cutoffNoCutoff date/timestamp accepted by Outscraper.
fieldsNoSpecific review fields to return.
regionNoRegion code, for example us.
sourceNoReview source.
webhookNoOptional webhook URL for async completion.
languageNoLanguage code, for example en.
ignore_emptyNoSkip places without reviews.
cutoff_ratingNoMinimum rating cutoff.
reviews_limitNoMaximum reviews per place.
reviews_queryNoOptional keyword filter inside reviews.
execution_modeNoExecution strategy. Use auto to let the MCP server choose between sync and async.
last_pagination_idNoResume token from previous page.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
asyncNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.2.5
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv0.2.3

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses async/sync execution modes, mentions webhook for async completion, and explains polling progress via requests_get. However, it does not explicitly state read-only behavior, rate limits, or error handling, though these are implied by the nature of a fetch tool. The guidance on async for heavy jobs adds meaningful context.

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?

The description is well-structured with clear section headers (Best for, Prefer this tool when, Use async mode when, Do not use) that front-load the core purpose and usage. Every sentence earns its place, and the bullet-point format makes it scannable without unnecessary prose. It is appropriately sized for a complex 17-parameter tool.

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?

Despite 17 parameters and an output schema, the description is complete enough for an agent to call it correctly. It explains use cases, alternatives, async behavior, and even provides a workflow (use google_maps_search first). The output schema covers return values, and the parameter schema covers individual params, so nothing critical is missing from the description's standpoint.

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?

The schema covers 100% of parameters with descriptions, so the baseline is 3. The description repeats the query parameter's meaning ('place ids or place queries') but adds no new information about parameters beyond what the schema already provides. It doesn't elaborate on sort, limit, or other params, but the schema handles those adequately.

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?

The description opens with a specific verb and resource: 'Fetch Google Maps reviews for place ids or place queries.' It clearly distinguishes from siblings by explicitly stating it is for reviews, not basic place discovery, and directly references google_maps_search as the alternative for that purpose. This makes the tool's scope unambiguous.

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

Usage Guidelines5/5

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

The 'Prefer this tool when' and 'Do not use this' sections provide explicit conditions and name the alternative (google_maps_search). It also details when to use async mode and mentions polling with requests_get, giving clear decision guidance. No other tool in the sibling list is routed to as directly, making this exceptionally actionable.

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