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BACH-AI-Tools

Local Business Data MCP Server

business_reviews_v2

Retrieve and filter business reviews by ID with pagination, sorting, and translation options to analyze customer feedback.

Instructions

Get business reviews by Business Id with pagination support.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idYesUnique Business Id. Accepts google_id / business_id or place_id. Examples: 0x880fd393d427a591:0x8cba02d713a995ed ChIJkaUn1JPTD4gR7ZWpE9cCuow
limitNoMaximum number of business reviews to return. Default: 20 Allowed values: 1-100020
cursorNoThe cursor value from the previous response to get the next set of results (scrolling / pagination).
translate_reviewsNoExample value:
queryNoReturn reviews matching a text query.
sort_byNoHow to sort the reviews in the results. Default: most_relevant Allowed values: most_relevant, newest, highest_ranking, lowest_ranking
fieldsNoA comma separated list of review fields to include in the response (field projection). By default all fields are returned. Example: review_id,review_text,rating
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 full burden but only states basic functionality. It doesn't disclose behavioral traits such as rate limits, authentication requirements, error handling, response format, or whether it's read-only/destructive. The mention of 'pagination support' is useful but insufficient for a tool with 9 parameters and no output schema.

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 with zero waste. It's front-loaded with the core purpose and includes an important feature (pagination support). Every word earns its place without redundancy or unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (9 parameters, no output schema, no annotations), the description is incomplete. It lacks details on response format, error conditions, usage constraints, and how parameters like 'translate_reviews' or 'fields' affect behavior. For a data retrieval tool with rich filtering options, more contextual guidance is needed.

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 fully documents all 9 parameters. The description adds no parameter-specific information beyond implying 'business_id' is key and mentioning pagination (related to 'cursor'). Baseline 3 is appropriate as the schema does the heavy lifting, but the description doesn't enhance understanding of parameter interactions or semantics.

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 verb 'Get' and resource 'business reviews', specifying the primary identifier 'by Business Id' and mentioning 'pagination support'. It distinguishes from siblings like 'business_review_details' (single review) and 'business_reviews' (likely older version), but doesn't explicitly contrast with all alternatives like 'search' for broader queries.

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

Usage Guidelines3/5

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

The description implies usage for retrieving reviews for a specific business, but provides no explicit guidance on when to use this tool versus alternatives like 'search' or 'business_review_details'. It mentions pagination support, which hints at use for large datasets, but lacks clear when/when-not instructions or named alternatives.

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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