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Crawlora MCP

jcrew_product

Read-only

Full J.Crew or J.Crew Factory product detail for one style: name, brand, description, category, list price, aggregate rating, every purchasable color, and every color+size combination as a separate priced/stocked SKU. pid is a style id from jcrew_search's id field; site must match the storefront the pid belongs to (default jcrew). A single call covers every color and size -- no per-color lookup needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pidYes
siteNo

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

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real behavioral context beyond that: it discloses the SKU-level granularity of the response and that one call replaces per-color lookups, which shapes how an agent plans calls.

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 return payload is front-loaded and the two constraints (pid source, site matching) follow, with the no-per-color-lookup note last. Dense but every sentence carries operational information; no filler.

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

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description needn't detail return values, yet it still summarizes them helpfully. It covers both parameters and the cross-storefront constraint, leaving little an agent needs to call it correctly.

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 description coverage is 0%, so the description carries the load, and it does: pid is defined as a style id sourced from jcrew_search's id field, and site is defined as the storefront matching the pid with a stated default of jcrew. Only minor gaps remain (e.g., accepted site values beyond the default).

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 (full product detail for one style) and enumerates exactly what is returned: name, brand, category, price, rating, colors, and color+size SKUs. It is clearly distinguished from jcrew_search, which is named as the source of the pid rather than a competitor.

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?

Explains where pid comes from (jcrew_search's id field) and that site must match the storefront the pid belongs to (default jcrew), plus the important note that a single call covers all colors/sizes so no per-color lookup is needed. No explicit when-not guidance, but the sourcing and scope conditions are clear.

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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