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AIsa App Store Data

List of Apple Locations for App Data API

get_dataforseo_app_apple_locations
Read-onlyIdempotent

By calling this endpoint you will receive the list of Apple locations supported in App Data API. for more info please visit 'https://docs.dataforseo.com/v3/app_data/apple/locations/?bash'

Usage-based billing; Default request estimate: $0.012 USD (not a fixed price). Account-specific pricing and final settlement may differ.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  2. Changed1 schema field changed
    • removedOutput schema / x-fastmcp-wrap-result
      Removed value: -true
  3. Changed1 schema field changed
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  4. First observed

TDQS

B3.3/5.0
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 needs no repetition. The description does add one genuine behavioral fact beyond the annotations — that this is a billing-bearing call with a default estimate of $0.012 — but it discloses nothing about the shape, size, or stability of the returned location list.

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?

The lead sentence is slightly wordy ('By calling this endpoint you will receive...') where 'Returns the list of Apple locations supported in App Data API' would be tighter. The doc-link sentence and the injected pricing block are short but neither is front-loaded with the decisive information an agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description need not explain the returned fields, and with zero parameters there is no input burden. Annotations cover the safety profile, so the remaining obligations are met; only the missing cross-reference to downstream endpoints keeps it from a 5.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool is 4. Nothing in the description misleads about inputs.

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 names a specific verb and resource: it returns 'the list of Apple locations supported in App Data API.' An agent can distinguish it from get_dataforseo_app_google_locations by the Apple qualifier, but it never explicitly contrasts itself with its closest siblings (languages, categories), so the differentiation is inferred rather than stated.

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 alternatives. It does not say, for example, that the returned location codes are the valid inputs for the *_live/_submit App Data endpoints, which is the primary reason an agent would call it. Usage is only implied by the endpoint name.

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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