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AIsa Business Listings & Reviews

Get Business Data Google Extended Reviews Results by id

get_dataforseo_business_google_extended_reviews_fetch
Read-onlyIdempotent

The returned results are specific to the indicated local establishment name, search engine, location and language parameters. We emulate set location and search engine with the highest accuracy so that the results you receive will match the actual search results for the specified parameters at the time of task setting. You can always check the returned results accessing the check_url in the Incognito mode to make sure the received data is entirely relevant. Note that user preferences, search history, and other personalized search factors are ignored by our system and thus would not be reflected in the returned results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYestask identifier unique task identifier in our system in the UUID format you will be able to use it within 30 days to request the results of the task at any time

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"DataForSEO task ID."New value: +"task identifier unique task identifier in our system in the UUID format you will be able to use it within 30 days to request the results of the task at any time"
  2. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare read-only, idempotent, open-world, non-destructive behavior, lowering the bar. The description usefully notes that results are pinned to the establishment/location/language at task-setting time, that personalization is ignored, and that a check_url exists for verification. It says nothing about the 30-day id validity (schema covers it), error cases, or what happens if the task isn't complete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

A four-sentence paragraph dominated by reassurance about search-accuracy emulation and Incognito verification, none of which helps an agent invoke the tool. The operational fact (what is fetched, from which task id) is absent, so the length is spent poorly rather than front-loading value.

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?

Output schema and annotations are present, so return format and safety need not be re-explained, but the description omits the essential contract: this fetches the result of an existing submit task, requires a valid task id within its retention window, and may not have results ready yet. For a fetch-by-id tool these are the gaps an agent needs filled.

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?

Only one parameter, and the schema description already covers it fully (UUID format, task identifier, reusable within 30 days). Schema coverage is 100%, so the baseline of 3 applies; the description adds no parameter meaning of its own.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The name and title convey the verb (fetch results by id), but the description body never states that it retrieves the results of a previously submitted Google extended-reviews task. Instead it describes characteristics of the returned data (location/language specificity, emulation accuracy). Purpose is inferable but not asserted, and nothing distinguishes it from sibling fetch tools like get_dataforseo_business_google_reviews_fetch.

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?

There is no guidance on when to call this versus the submit tools it depends on, versus get_details, use, or the other *_fetch siblings. The only actionable hint, 'check the returned results accessing the check_url', is about validating output fidelity, not about tool selection or prerequisites.

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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