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AndrewEstopinan

Bright Data MCP Server

Amazon product reviews

web_data_amazon_product_reviews

Retrieve structured Amazon product reviews from a product URL containing /dp/. Simplify review data extraction for analysis.

Instructions

Structured Amazon review data for a product. Requires a product URL containing /dp/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAmazon product URL (must contain /dp/)
Behavior2/5

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

With no annotations provided, the description must fully disclose behavior. It states the data is structured and the URL requirement, but provides no details about the content of the reviews (e.g., ratings, dates, metadata), pagination, or potential blocking/rate limits. This is a minimal disclosure for a read tool.

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 two short sentences that immediately state the tool's purpose and the key input constraint. Every word earns its place with no redundancy.

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?

For a simple one-parameter tool, the description covers the basic purpose and input requirement. However, since there is no output schema, the agent gets no indication of what fields are included in the 'structured review data,' such as reviewer name, rating, date, or text, leaving some ambiguity.

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 covers the single parameter 'url' with a description identical to the tool description. The description adds no new meaning beyond reinforcing the /dp/ requirement, so the baseline of 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?

The description clearly identifies the tool as returning structured Amazon review data for a product, distinguishing it from sibling tools like web_data_amazon_product which handle product details. However, it lacks an explicit action verb (e.g., 'retrieves'), making it slightly less direct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies a required input condition (URL must contain /dp/), which is useful guidance. However, it does not explicitly state when to choose this tool over alternatives such as web_data_amazon_product or web_data_amazon_product_search, leaving the differentiation to 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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