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AIsa App Store Data

Setting Google App Searches Tasks

post_dataforseo_app_google_app_searches_submit
Destructive

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the agent knows this is a mutating, non-idempotent operation. The description adds nothing about the async task model, task IDs, postback/pingback delivery, or per-SERP billing, and its 'will provide you with a list of apps' phrasing actively suggests a synchronous read, obscuring the real behavior.

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 tight sentences with the core resource and the keyword/language/location scoping front-loaded. No filler, though the second sentence largely restates the first.

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?

For an async submit tool feeding a separate fetch endpoint, the description omits the entire task lifecycle (submission, polling/retrieval, task ID) and the cost model. An output schema exists so return-shape detail is not needed, but the missing async workflow context is a material gap for correct invocation.

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?

Top-level schema description coverage is 0%, but the nested body fields carry extensive per-field descriptions (keyword rules, depth/billing, location/language alternates, postback_data). The description only gestures at keyword/language/location, so the schema does the heavy lifting; baseline 3 is appropriate.

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 names a resource (apps ranking on Google Play for a keyword) and scopes it by language/location, so the domain is identifiable. However, it frames a task-submission endpoint as if it returns results directly, and it does nothing to distinguish itself from the sibling get_dataforseo_app_google_app_searches_fetch, which is the tool that actually retrieves those results.

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 use submit versus fetch, and no mention that this is an asynchronous task-creation call whose results arrive later. An agent cannot infer from the text how this tool fits into the submit-then-fetch workflow it clearly belongs to.

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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