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AIsa App Store Data

Get Apple App Reviews Results by id

get_dataforseo_app_apple_app_reviews_fetch
Read-onlyIdempotent

This endpoint will provide you with feedback data on applications listed on the App Store platform, including review ratings, review content, user profile info of each reviewer, review publication dates, and more. The results are specific to the app_id as well as the location and language parameters specified in the POST request.

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

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds that results are scoped to app_id, location, and language from the originating POST, which is useful context, but omits any note about task lifetime or result availability windows (those live only in the schema).

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

Conciseness3/5

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

Two sentences, front-loaded with the resource, but padded with 'and more' and a trailing sentence that re-explains the POST-derived scoping without adding actionable detail. Adequate but not tight.

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

Completeness4/5

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

With an output schema present, the description need not enumerate return fields; it still sketches the payload (ratings, content, reviewer profiles, dates). For a simple one-parameter fetch tool, this is nearly complete, missing only the explicit submit-then-fetch workflow prerequisite.

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% for the single 'id' parameter, so the schema already carries the semantics. The description instead references app_id/location/language fields that are not actual input parameters here, adding no real meaning beyond what the schema provides.

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?

Specific verb+resource: retrieves feedback/review data for App Store applications, distinguishing it from the sibling get_dataforseo_app_google_app_reviews_fetch. However, it is framed as 'this endpoint will provide you with feedback data' rather than clearly stating it fetches results of a previously submitted task by id, so the retrieval-by-id nature is only implied.

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 mention of 'parameters specified in the POST request' weakly implies this is the companion to post_dataforseo_app_apple_app_reviews_submit, but no explicit when-to-use, prerequisite (task must be completed first), or alternative is named. Usage is inferred rather than stated.

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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