Skip to main content
Glama

AIsa App Store Data

Setting Google App Info Tasks

post_dataforseo_app_google_app_info_submit
Destructive

This endpoint will provide you with information about the Google Play application specified in the app_id field of the POST request.

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/google/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/google/languages example: en"
  2. First observed

TDQS

D1.9/5.0
Behavior1/5

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

Annotations declare a write-side operation (readOnlyHint=false, destructiveHint=true, idempotentHint=false), yet the description frames the endpoint as one that 'will provide you with information' — a read-style framing. Beyond that mismatch it discloses nothing about the asynchronous task lifecycle, cost implications of priority, or rate limits. The description contradicts the annotation profile.

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?

A single front-loaded sentence with no waste, but it is concise at the cost of informativeness; the brevity here reflects under-specification rather than discipline.

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?

This is a complex submit endpoint with a cost-sensitive priority field, an async result flow (postback/pingback), and required location/language pairs, none of which the description addresses. An output schema exists and covers return values, but the description does not fill the remaining gap about task submission behavior.

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?

Top-level schema description coverage is 0% (the sole 'body' parameter is undocumented), so the description must compensate, and it only names app_id — omitting the location/language requirement pairs, priority, postback_url/postback_data and pingback_url. Nested field descriptions in the schema are rich, but the description itself adds almost nothing and does not convey the array/body structure or the required location+language combination.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says the endpoint 'will provide you with information about the Google Play application,' but the tool name and title indicate a task-SUBMISSION endpoint ('submit', 'Setting ... Tasks'). The verb describing what the tool actually does (queue an async Google App Info task) is never stated, and the phrasing reads like its sibling get_dataforseo_app_google_app_info_fetch. An agent could easily pick the wrong tool.

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 at all: nothing says this queues a task rather than returning data directly, nothing points to the fetch counterpart for retrieving results, and no prerequisites or cost conditions are mentioned. The agent is left to infer usage entirely from the name.

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