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Check the app stores

check_app_stores
Idempotent

Read the app's App Store and Google Play listings again now and refresh the prepared changes. Costs nothing. For a business that is a mobile app. If the answer says started, call app_store_listing shortly after.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "check_app_stores"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real value beyond that: the operation is free ('Costs nothing'), it refreshes previously prepared changes rather than only reading, and it can return an async 'started' status requiring a follow-up call. Return shape is only hinted at, not specified.

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?

Short and front-loaded, with the action stated first and the conditional follow-up last. Some sentences are clipped fragments ('Costs nothing. For a business that is a mobile app.') that read awkwardly, but no content is wasteful.

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?

For a zero-parameter, non-destructive refresh tool with no output schema, the description covers the action, cost, applicability and the async follow-up path. The only gap is that the full response shape is left implicit beyond the 'started' case.

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; baseline 4 applies.

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 pairs a concrete verb ('Read ... listings again ... refresh the prepared changes') with a specific resource (App Store and Google Play listings), and the refresh framing distinguishes it from the sibling app_store_listing read. It does not explicitly name app_store_listing as the alternative, but the relationship is inferable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the applicability condition ('For a business that is a mobile app') and gives an explicit follow-up rule: if the response says 'started', call app_store_listing shortly after. There is no explicit when-not guidance, but the context is clear.

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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