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googleplay_similar

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Google Play similar apps.

Input Schema

TableJSON 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

TableJSON 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

C2.5/5.0
Behavior2/5

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 nothing beyond that: it does not say results are live-fetched from the store, how the seed app relates to results, or anything about ordering/volume beyond what the schema's Num parameter already states.

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?

It is a single short fragment with no waste, but it is under-specified rather than genuinely concise — there is no verb and no scoping clause to front-load. Brevity here comes at the cost of information rather than from editing.

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?

The tool has 5 parameters, a required AppID and an output schema, yet the description never mentions that a seed app ID is required or what the tool returns conceptually. For a lookup tool in a large app-store family, the definition is too thin for an agent to select and call it confidently.

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 the schema already documents AppID, Num, Lang, Country and FullDetail thoroughly. The description contributes no additional parameter meaning, which matches the baseline of 3 when the schema does the heavy lifting.

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 fragment 'Google Play similar apps' names the resource (Google Play) and the type of result (similar apps), which is enough to distinguish it from siblings like googleplay_app or appstore_similar. However it never states the actual operation or that it takes a seed app as input, so the purpose is only implied rather than stated as a verb+resource.

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, no mention of the alternative siblings (googleplay_app, googleplay_search), and no condition under which this tool should be chosen over them. 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.

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