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AIsa App Store Data

Setting Apple App Searches Tasks

post_dataforseo_app_apple_app_searches_submit
Destructive

This endpoint will provide you with a list of apps ranking on the App Store for the specified keyword. The returned results are specific to the indicated keyword, as well as the location and language parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / body / items / properties / language_code / description
      Previous value: -"search engine language code required field if language_name is not specified if you use this field, you don’t need to specify language_name you can receive the list of available languages with their language_code by making a separate request to https://api.dataforseo.com/v3/app_data/apple/languages example: en"New value: +"search engine language code required field if language_name is not specified if you use this field, you don't need to specify language_name you can receive the list of available languages with their language_code_by making a separate request to https://api.dataforseo.com/v3/app_data/apple/languages example: enn"
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations declare a non-read-only, destructive, non-idempotent, open-world write, but the description only describes the retrieved data as if this were a read. It omits the async task-creation model, that tasks are billed and that priority/or higher depth trigger additional charges, and the postback/pingback callback behavior exposed by 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.

Conciseness4/5

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

Two short sentences with no filler, appropriately sized for a task-specification endpoint. The second sentence ('results are specific to the indicated keyword, as well as the location and language parameters') adds little, but the overall structure is tight and readable.

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 presence excuses explaining return values, but for a billable, asynchronous task-submission endpoint with postback/pingback options the description is far too thin. It leaves the submit-vs-fetch split, billing implications, and required per-task fields entirely unaddressed.

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?

The single top-level 'body' parameter has no schema description (0% coverage), so the description must carry the weight. It only gestures at keyword/location/language; it never explains that body is an array of task objects, each requiring a keyword plus one of location_name/location_code and one of language_name/language_code.

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 description identifies the resource ('list of apps ranking on the App Store for the specified keyword') but frames the tool as a synchronous data provider, while the name and title indicate it submits a task. It never uses a verb matching the operation and does not distinguish itself from the sibling get_dataforseo_app_apple_app_searches_fetch, so an agent cannot tell why it should call submit rather than 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?

No when-to-use guidance, no mention of the submit-then-fetch workflow, and no prerequisites such as first resolving valid location/language values via the languages and locations siblings. The only hint at context is the passing reference to 'the location and language parameters'.

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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