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by outscraper

Google Maps Reviews

google_maps_reviews

Fetch Google Maps reviews by place ID or query to analyze ratings, monitor recent feedback, and extract review metadata for targeted locations.

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
Behavior4/5

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

No annotations are provided, so the description carries the burden. It adds behavioral context such as async mode for heavy jobs, polling with requests_get, and the deprecation of the async flag in favor of execution_mode. However, it does not disclose potential limitations like rate limits or data freshness, so it falls short of 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.

Conciseness5/5

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

The description is well-structured with a clear opening sentence followed by bullet-point sections. It is concise yet informative, with every line serving a purpose. The front-loaded main purpose makes it easy to scan.

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?

Given the tool's complexity (17 parameters, output schema, and many sibling tools), the description covers the essential context: when to use it vs. alternatives, async behavior, and typical use cases. The output schema handles return value details, and the sibling differentiation is explicit.

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 the schema already documents all 17 parameters. The description adds minimal extra value beyond clarifying that 'query' accepts place ids or business queries and that async mode is preferred for large volumes. This aligns with the baseline of 3 for high schema coverage.

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 clearly states the tool's function: 'Fetch Google Maps reviews for place ids or place queries.' It distinguishes itself from siblings like google_maps_search and other review tools by specifying its focus on reviews rather than place discovery.

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 description provides explicit 'Prefer this tool when' and 'Do not use this for basic place discovery' sections, naming google_maps_search as the alternative. It also gives clear async mode usage guidelines, explaining when to use async and how to poll progress with requests_get.

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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