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googleplay_similar

Read-only

Returns apps from the "Similar apps" cluster on an app details page. AppID: Seed Google Play package name (app ID) to find related apps for, e.g. com.openai.chatgpt. Country: Two-letter storefront country code, ISO-2, default us. Use googleplay_app to retrieve full Google Play app details.

Input Schema

NameRequiredDescriptionDefault
NumNoMaximum number of similar apps to return, default 24.
LangNoTwo-letter language code, ISO-639, default en.
AppIDYesSeed Google Play package name (app ID) to find related apps for, e.g. com.openai.chatgpt.
CountryNoTwo-letter storefront country code, ISO-2, default us.
FullDetailNoWhen true, fetch full app details for each result instead of the compact card. Default false.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that results come from the app-details page's "Similar apps" cluster, but says nothing about result ordering, deduplication, or what FullDetail changes in 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?

Purpose is front-loaded in the first sentence, and the total length is short. The AppID and Country sentences largely restate schema text, which is mild redundancy but not bloat.

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?

An output schema exists, so return-value detail is not required, and the safety annotations cover behavior. Purpose plus the googleplay_app redirect give an agent enough to call it correctly; only edge behaviors (ordering, FullDetail effect) are unaddressed.

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?

Schema description coverage is 100%, so all five parameters are already documented, including the same AppID example given in the description. The description adds no syntax or default information beyond the schema (Num, Lang, FullDetail go unmentioned), so this is a baseline case.

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

Purpose5/5

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

States a specific verb and resource: "Returns apps from the 'Similar apps' cluster on an app details page," and the seed is described concretely with an example (com.openai.chatgpt). An agent can distinguish this from listing/search siblings without reading a schema.

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?

Names a concrete alternative and its purpose: "Use googleplay_app to retrieve full Google Play app details," which tells the agent when this tool is not the right one. It stops short of spelling out exclusion conditions versus googleplay_search or googleplay_suggest.

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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