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google_maps_contributor_reviews: GET /

hasdata_google_maps_contributor_reviews_getMapReviews

Retrieve all Google Maps reviews authored by a specific Local Guide using their contributor ID. Analyze reviewer reputation, detect fake or bot reviews, and build trust profiles.

Instructions

Get Map Contributor Reviews

Lists all Google Maps reviews authored by a specific Local Guide / contributor by contributorId, with language/country targeting and nextPageToken pagination. Returns per-review rating, text, date, place name, place address, placeId, photos, and owner responses. Use for reviewer reputation checks, detecting fake/bot review patterns, local-guide activity analysis, and building review-author profiles for trust scoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contributorIdYesGoogle Maps Contributor ID.
hlNoThe two-letter language code for the language you want to use for the search.
glNoThe two-letter country code for the country you want to limit the search to.
numNoNumber of results per page, ranging from 10 to 200.
nextPageTokenNoDefines the next page token. It is used for retrieving the next page results.
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, rate limits, or authentication requirements. The description focuses on functionality rather than behavioral context.

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?

The description is a single concise paragraph that efficiently conveys purpose, returned fields, and use cases. No redundant information, though bullet points could improve readability.

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?

For a tool with 5 parameters and no output schema, the description covers the main purpose and return fields but lacks information on output structure, pagination limits, or potential side effects. Adequate but not fully complete.

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 the schema already describes all parameters. The description adds minimal context by mentioning 'language/country targeting' and 'nextPageToken pagination', but does not enrich parameter meaning beyond the schema.

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 lists all Google Maps reviews for a specific contributor by contributorId, distinguishing it from sibling tools like getMapReviews for place reviews.

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?

Provides specific use cases like reviewer reputation checks and fake review detection, making it easy to decide when to use this tool. No explicit exclusion of alternatives, but the context is clear.

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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