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Crawlora MCP

quince_product_reviews

Read-only

A sample of a Quince product's normalized customer reviews (author, date, rating, review body), plus the product's overall aggregate rating and review count. handle is the same value quince_product accepts. The reviews returned are the sample Quince's own page carries in its structured product data, not a paginated feed of the full review history. A product with no reviews yet returns a well-formed empty result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYes

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

A4.7/5.0
Behavior5/5

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

With readOnlyHint and openWorldHint already provided, the description adds the crucial behavioral caveat that the reviews are the page's structured-data sample, not a paginated full feed, and that a no-review product returns a well-formed empty result. These are non-obvious traits an agent would otherwise infer incorrectly.

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?

Three tight sentences, front-loaded with what is returned, followed by data-provenance and edge-case behavior. No filler; every sentence carries an operational fact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

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 not be spelled out, yet the description still foregrounds the aggregate rating/count and the empty-result guarantee. Combined with annotations covering read safety, the definition is complete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% for the lone handle param, so the description must compensate. It does by stating that handle is the same value quince_product accepts, which is the one piece of semantics needed to use the parameter correctly. It does not clarify format (slug vs. ID), leaving a small gap.

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?

States a specific verb+resource: normalized customer reviews for a Quince product, with the fields included and the companion aggregate rating/count. It is distinguishable from the sibling quince_product by naming the shared handle identifier.

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

Usage Guidelines4/5

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

Explicitly links the handle to the same value quince_product accepts, which is a clear usage signal. It doesn't state when to prefer this over a full review-history endpoint, but no such sibling is named in the tool list, so the guidance is adequate.

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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