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AIsa App Store Data

Get Google App Info Results by id

get_dataforseo_app_google_app_info_fetch
Read-onlyIdempotent

This endpoint will provide you with information about the mobile application specified in a POST request. You will receive its ID, icon, description, reviews count, rating, number of installs, images, and other data. The results are specific to the app_id parameter specified in the POST request.

Published reference price: $0 USD per successful request. Account-specific pricing and final settlement may differ.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes<em>task identifier</em><br><strong>unique task identifier in our system in the <a href="https://en.wikipedia.org/wiki/Universally_unique_identifier">UUID</a> format</strong><br>you will be able to use it within <strong>30 days</strong> 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. Changed3 schema fields changed
    • changedInput schema / properties / id / description
      Previous 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"New value: +"<em>task identifier</em><br><strong>unique task identifier in our system in the <a href=\"https://en.wikipedia.org/wiki/Universally_unique_identifier\">UUID</a> format</strong><br>you will be able to use it within <strong>30 days</strong> to request the results of the task at any time"
    • addedInput schema / properties / id / example
      Added value: +"00000000-0000-0000-0000-000000000000"
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  2. Changed3 schema fields changed
    • changedInput schema / properties / id / description
      Previous value: -"<em>task identifier</em><br><strong>unique task identifier in our system in the <a href=\"https://en.wikipedia.org/wiki/Universally_unique_identifier\">UUID</a> format</strong><br>you will be able to use it within <strong>30 days</strong> to request the results of the task at any time"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"
    • removedInput schema / properties / id / example
      Removed value: -"00000000-0000-0000-0000-000000000000"
    • removedOutput schema / x-fastmcp-wrap-result
      Removed value: -true
  3. Changed3 schema fields changed
    • changedInput schema / properties / id / description
      Previous 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"New value: +"<em>task identifier</em><br><strong>unique task identifier in our system in the <a href=\"https://en.wikipedia.org/wiki/Universally_unique_identifier\">UUID</a> format</strong><br>you will be able to use it within <strong>30 days</strong> to request the results of the task at any time"
    • addedInput schema / properties / id / example
      Added value: +"00000000-0000-0000-0000-000000000000"
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  4. 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"
  5. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds that results are scoped to a prior POST request, hinting at the async task model, but does not describe pagination, freshness, or the retrieval window beyond what the schema states.

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

Conciseness4/5

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

Purpose is front-loaded in the first sentence and the prose is short. The enumeration of return fields is somewhat redundant given an output schema exists, and the pricing block is boilerplate, but overall it is tight.

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?

With an output schema present and rich annotations, the core call mechanics are adequately covered. What is missing is the lifecycle context that matters for this async fetch tool: that it depends on a prior submission and that the id is valid only for a limited window (the latter appears only in the schema, not the description).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the single 'id' parameter is fully documented as a UUID task identifier. However, the description calls out an 'app_id parameter specified in the POST request', which conflates the task identifier this tool consumes with a different parameter from the upstream POST, risking agent confusion.

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?

States a clear verb and resource: it retrieves information about a mobile application and enumerates the fields returned (ID, icon, description, reviews count, rating, installs, images). The 'fetch by id' pattern is clear, though it never explicitly distinguishes itself from the Apple or _html sibling variants, so it stops short of a 5.

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 explicit when-to-use or when-not-to-use guidance. It vaguely references 'the mobile application specified in a POST request' but never tells the agent that this is an async result-fetch tool requiring the task id from post_dataforseo_app_google_app_info_submit. The agent must infer the two-step workflow entirely.

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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