Skip to main content
Glama

AIsa App Store Data

Get Apple App Searches Results by id

get_dataforseo_app_apple_app_searches_fetch
Read-onlyIdempotent

This endpoint will provide you with a list of apps ranking on the App Store for the keyword specified in a POST request. You will also receive additional information about each application: its ID, icon, reviews count, rating, price, and other data. The results are specific to the keyword as well as 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

C2.9/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds some context about what the payload contains (id, icon, reviews count, rating, price), but discloses nothing about the 30-day task-id validity window (only in the schema) or the async submit-then-fetch coupling.

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?

Effectively three sentences with the core result set front-loaded and little wasted wording. It is not bloated, though the trailing enumeration of app fields is somewhat redundant given the output schema exists.

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?

An output schema exists, so return-value detail is not required, yet the description spends its length on return fields while omitting the critical context: this is an id-based result fetch tied to an earlier submission. For a DataForSEO task-retrieval endpoint that omission is a real gap.

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% for the single 'id' parameter, so the baseline would be 3, but the description discusses keyword/location/language 'specified in the POST request' — parameters this tool does not accept — which can mislead an agent about what it needs to supply. It never explains that 'id' is the task identifier from the submit call.

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 states a specific verb and resource: it returns apps ranking on the Apple App Store for a keyword, plus per-app fields. It implicitly distinguishes itself from the Google sibling via 'App Store'/'Apple', but never says it is the retrieval half of an asynchronously submitted task keyed by id, which the title implies.

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 when-to-use guidance and no mention of the prerequisite workflow (submit via post_dataforseo_app_apple_app_searches_submit, then fetch results with the returned task id). The agent is left to infer the dependency from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources