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A1-x-Tech

mcp-google-business

Get a review

get_review
Read-onlyIdempotent

Fetch a specific Google Business review by ID, returning details like star rating and the business's reply if present.

Instructions

Returns one review by id — same shape as a list_reviews entry (starRating is an enum ONE..FIVE, reviewReply present only if the business already answered). Reviews live only on the legacy v4 API (mybusiness.googleapis.com) — they were never migrated to v1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reviewIdYesReview id (from list_reviews `reviewId` or `name`).
accountIdYesAccount id — bare "123" or "accounts/123".
locationIdYesLocation id — bare "456", "locations/456" or "accounts/1/locations/456".
Behavior5/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds valuable behavioral details beyond annotations: the return shape matches list_reviews, starRating is an enum ONE..FIVE, reviewReply is conditional, and the API legacy constraint. This greatly enriches what an agent knows about the tool's behavior.

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?

Two sentences, front-loaded with the core action, then delivering two high-value clarifications (return shape and API version). No wasted words.

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?

For a simple getter, the description covers return shape via the list_reviews reference, enumerates the starRating values, specifies when reviewReply is present, and warns about the API version. With no output schema, this is sufficient context, and sibling tools (list_reviews, reply_to_review) make the ecosystem clear.

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?

Input schema fully documents all three parameters (100% coverage), including formats and source of reviewId. The description adds no parameter-specific meaning beyond the schema, so the baseline score of 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?

The description clearly states it returns one review by id, with a specific verb and resource. It also explicitly distinguishes itself from list_reviews by noting the same shape as a list_reviews entry, making its scoped purpose 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?

The description provides important context: reviews live only on the legacy v4 API and were never migrated to v1, which guides when this tool should be used. It implicitly distinguishes from list_reviews (single vs. many) but does not explicitly name alternatives or exclusions.

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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