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BACH-AI-Tools

Local Business Data MCP Server

business_review_details

Retrieve specific Google Maps business review details using business and author identifiers to analyze customer feedback and ratings.

Instructions

Get the details of a specific review by Google Id / Business Id or Google Place Id and Review Author Id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idYesThe Business Id of the business for which the review belongs. Accepts google_id / business_id or place_id. Examples: 0x880fd393d427a591:0x8cba02d713a995ed ChIJkaUn1JPTD4gR7ZWpE9cCuow
review_author_idYesReview author id (i.e review author_id field). In addition, batching of up to 20 Review Author Ids is supported in a single request using a comma separated list (e.g. review_author_id=id1,id2).
regionNoQuery Google Maps from a particular region or country. For a list of supported region/country codes see https://en.wikipedia.org/wiki/List_of_ISO_3166_country_codes (Alpha-2 code). Default: us
languageNoSet the language of the results. For a list of supported language codes see https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes . Default: en
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions batching support for up to 20 author IDs, which adds useful context beyond the schema. However, it lacks details on permissions, rate limits, error handling, or response format, leaving significant gaps for a tool that likely involves external API calls.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly states what the tool does and the key parameters, making it easy to parse quickly.

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?

Given no annotations and no output schema, the description is moderately complete for a read operation. It specifies the tool's purpose and parameters, but lacks details on return values, error cases, or integration context, which could hinder an agent's ability to use it effectively without trial and error.

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 parameters thoroughly. The description adds minimal value by reiterating the business_id and review_author_id parameters without providing additional semantics or examples beyond what's in the schema, meeting the baseline for high coverage.

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?

The description clearly states the action ('Get the details') and resource ('specific review'), specifying it retrieves details for a review identified by business and author IDs. It distinguishes from siblings like 'business_reviews' (which likely lists reviews) by focusing on a single review's details, but doesn't explicitly contrast with 'business_reviews_v2'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'business_reviews' or 'business_reviews_v2'. The description implies it's for fetching details of a specific review, but lacks explicit context about prerequisites, when not to use it, or comparisons with sibling tools.

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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