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Crawlora MCP

appstore_reviews

Read-only

Returns normalized Apple App Store reviews for an app.

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.
PageNoReview page number, 1 to 10. Default 1.
SortNoSort order. Default mostRecent. Allowed values: mostRecent, mostHelpful.
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

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's only added behavioral claim is 'normalized', which is marginally useful, but it says nothing about page limits (Page 1–10), sort behavior, or per-storefront scoping that shape the call.

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 front-loaded sentence with zero padding. It is efficient, though arguably too terse for a six-parameter tool with a large sibling set, so it stops short of the top score.

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?

An output schema exists, so return values need no explanation, and the schema is fully self-documented. What is missing is the routing context: why pick this over appstore_ratings or where to get the required app identifier (appstore_search/appstore_app). Adequate but with a clear gap.

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 six parameters including the ID/AppID alternate-key pattern, Lang, Country and Sort are already fully documented in the schema. The description adds no 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.

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 ('Apple App Store reviews') and adds a qualifier ('normalized'). An agent knows what it fetches, but the description does nothing to distinguish it from siblings like appstore_ratings or appstore_app, which a directory of this size makes necessary.

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 (an app ID or bundle ID is required via one of two parameters), and no routing to alternatives such as appstore_ratings for aggregate scores. Usage must be inferred entirely from the schema.

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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