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Crawlora MCP

appstore_ratings

Read-only

Apple App Store ratings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
IDNoApp Store numeric track ID of the app, digits only, e.g. 553834731. Provide id or app_id.
LangNoResult language tag, e.g. en-US.
AppIDNoApp Store bundle ID, e.g. com.openai.chat. Provide id or app_id.
CountryNoISO-2 storefront country code, e.g. us. 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

C2.2/5.0
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 — no indication that results vary by storefront country, that ID or AppID must be supplied, or how ratings differ from reviews.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but four words of pure restatement are not concise so much as absent. Nothing is front-loaded because there is no information to front-load; brevity here comes at the cost of all substance.

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?

With an output schema present and annotations covering safety, the description need not explain return values — but it still leaves the core ambiguity (ratings vs. appstore_reviews) unresolved and gives no usage context, which is inadequate for a 4-parameter lookup tool in a dense sibling family.

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 ID, AppID, Lang and Country with examples and the ID-or-AppID pairing rule. The description contributes nothing to parameter meaning, so the baseline 3 applies.

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

Purpose2/5

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

The description is a bare noun phrase that restates the tool name — 'Apple App Store ratings.' It names no verb and gives no scope, so an agent cannot tell it apart from the direct sibling appstore_reviews, nor can it tell whether this returns aggregate rating distributions, per-version ratings, or individual review scores.

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?

No when-to-use guidance, no prerequisites, and no mention of alternatives. The most important routing question — this tool vs. appstore_reviews — is left entirely unanswered, forcing the agent to open both schemas to guess.

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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