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AndrewEstopinan

Bright Data MCP Server

Apple App Store app data

web_data_apple_app_store

Extract structured Apple App Store app data such as rating, reviews, price, and description from an app URL. Get key metrics for any iOS app directly.

Instructions

Structured Apple App Store app data (rating, reviews, price, description).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesApple App Store app URL
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It lists the data fields returned but does not disclose any behaviors such as requiring authentication, handling invalid URLs, rate limits, or the output structure. The description is essentially a data label rather than a behavioral specification.

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

Conciseness5/5

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

The description is a single concise sentence, efficiently front-loading the core purpose with no redundant words. Every word earns its place.

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?

Given the tool's simplicity (one parameter, no output schema), the description provides the key data fields but lacks detail on the return structure or caveats. It is minimally complete for a straightforward data retrieval tool, but not enriched beyond the bare essentials.

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?

The schema already documents the 'url' parameter with 100% coverage. The description adds no additional parameter meaning beyond the schema, so a baseline score of 3 is appropriate.

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?

The description clearly identifies the resource (Apple App Store) and the type of data returned (rating, reviews, price, description), distinguishing it from siblings like web_data_google_play_store. However, it lacks a verb indicating an action, instead using a noun phrase, so it falls short of a fully specific verb+resource formulation.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any conditions, exclusions, or alternative tools. The only implicit signal is the store name in the tool title/description, which is not explicit usage guidance.

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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