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compare_review_pages

Compare rating and complaint signals for two Amazon products by analyzing one review page per ASIN to identify strengths and issues side by side.

Instructions

Compare rating and complaint signals for two ASINs using one review page per product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinAYes
asinBYes
Install Server

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description must carry behavioral disclosure. It does add one meaningful behavioral constraint: each product is examined via only one review page, which implies a sampling limitation. But it does not disclose whether the tool fetches pages itself, what happens with missing reviews, or what kind of output the comparison produces.

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, front-loaded sentence with no wasted words. It packs the core action, target signals, parameter semantics, and a key behavioral limitation into one compact statement.

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?

The tool is simple with only two string parameters and no output schema, so the description covers the basic invocation. However, without annotations or an output schema, it leaves open questions about the response format, edge cases, and whether the comparison is visually rendered or returned as structured data.

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?

With 0% schema description coverage, the description must compensate. It clarifies that asinA and asinB are two ASINs to be compared and that they correspond to products. However, it does not specify ASIN format, ordering semantics, or how each parameter maps to the output, so the compensation is minimal but adequate for a simple two-parameter comparison.

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

Purpose5/5

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

The description states a specific verb ('Compare') and a concrete resource ('rating and complaint signals for two ASINs'), and adds a scope constraint ('using one review page per product'). This clearly distinguishes it from siblings like get_amazon_reviews and summarize_review_ratings, which handle single-product or non-comparative operations.

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 intended use is implied: use this when you need a side-by-side comparison of review-derived signals for two products. However, it does not explicitly state when not to use it or mention alternatives such as find_complaint_signals or summarize_review_ratings, leaving some routing decisions to inference.

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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