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get_product_reviews

Retrieve Amazon customer review topics and snippets with optional time-range, ASIN, SKU, and marketplace filters for product analysis.

Instructions

[Catalog / read] Customer review topics and snippets. Hosted endpoint only; this local stdio server is an introspection stub.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNoOptional start date for time-range reads, YYYY-MM-DD.
end_dateNoOptional end date for time-range reads, YYYY-MM-DD.
asinNoOptional Amazon ASIN filter when relevant.
skuNoOptional merchant SKU filter when relevant.
marketplace_idNoOptional Amazon marketplace identifier.
filtersNoOptional lightweight filters supported by the hosted tool.
limitNoOptional row limit for hosted reads.
Behavior2/5

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

No annotations are provided, so the description must cover all behavioral traits. It only implies read-only behavior via the 'read' tag and notes it's a stub locally, but does not disclose side effects, idempotency, data freshness, pagination, or rate limits, leaving significant gaps.

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?

The description is very short, using two sentences to convey the purpose and a critical hosting constraint. It wastes no words, but could be slightly more informative without becoming verbose. Nonetheless, it is well-structured and front-loaded.

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 7 optional parameters and no output schema, the description should explain the return format or provide examples, but it does not. It adequately defines the resource and hosting context, but leaves the agent guessing about what data the tool returns, which is a notable 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 coverage is 100%, so the input schema already documents all 7 parameters. The description adds no parameter-specific details beyond what is in the schema, making it neither helpful nor harmful for parameter understanding.

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 a read operation for customer review topics and snippets, and distinguishes it from other tools by specifying it's from the Catalog domain. However, it does not explicitly differentiate it from similar tools like get_review_trends, leaving some ambiguity.

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 states it is a 'Hosted endpoint only' and that the local server is an 'introspection stub', which gives a clear constraint on when it works. However, it offers no guidance on when to use this tool vs alternatives or any prerequisites, limiting its utility for tool selection.

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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