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Crawlora MCP

googleplay_permissions

Read-only

Returns normalized Google Play permissions for an app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
LangNoTwo-letter language code, ISO-639, default en.
AppIDYesGoogle Play package name (app ID), e.g. com.openai.chatgpt.
ShortNoWhen true, return a flat list of permission names instead of grouped permission objects. Default false.
CountryNoTwo-letter storefront country code, ISO-2, default us.

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

B3.2/5.0
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 contributes the 'normalized' qualifier, implying permissions are standardized rather than raw, but says nothing about how country/language affect results or what the grouped-vs-flat output means behaviorally.

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?

A single short sentence with no filler and the key qualifier ('normalized') front-loaded before the resource. It is efficient, though the extreme brevity leaves room that could have been spent on usage context.

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

Completeness3/5

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

With an output schema present and full parameter documentation, the description need not explain return values, and annotations cover the read-only/open-world profile. However, it leaves unclear whether the country/language parameters materially change the returned permission set, which is a meaningful gap for a storefront-scoped lookup.

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 coverage is 100% and each of the four parameters is documented inline, including the AppID format example and the Short flag's effect on output shape. The description adds no parameter meaning beyond the schema, so the baseline 3 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?

States a specific verb ('Returns') and resource ('Google Play permissions for an app') with the qualifier 'normalized', which hints at processed/standardized output. It is clearly distinct from siblings like googleplay_datasafety or googleplay_app, but it never names those siblings or contrasts itself with them.

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 prerequisites (e.g. app must exist in the storefront), and no reference to alternative tools such as googleplay_datasafety or googleplay_app. The agent must infer the scenario entirely from the tool 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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