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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

NameRequiredDescriptionDefault
pidYesStyle id, from a search result's id field
siteNoStorefront the pid belongs to. Documented values: jcrew, factory.

Output 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. Changed2 schema fields changed
    • addedInput schema / properties / pid / description
      Added value: +"Style id, from a search result's id field"
    • addedInput schema / properties / site / description
      Added value: +"Storefront the pid belongs to. Documented values: jcrew, factory."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful behavior: every color and size is returned in one call and 'no per-color lookup needed', which clarifies result granularity beyond the annotations. It lacks auth/rate-limit notes, so not a 5.

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?

Front-loaded with what the tool returns, followed by the two parameter rules; no filler sentences. The first sentence is long due to the field enumeration, but each listed field earns its place.

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, yet the description still conveys the essential shape (color- and size-level SKUs), and it fully explains the id provenance and site constraint. Nothing critical for a correct invocation is left unstated.

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 100%, so the baseline is 3, but the description adds real meaning: it links pid to jcrew_search's id field and explains that site must correspond to the pid's storefront (with jcrew as default). That constraint is not spelled out in the schema.

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 and resource ('Full J.Crew or J.Crew Factory product detail for one style') and enumerates the exact payload: name, brand, description, category, list price, rating, colors, and color+size SKUs. It routes the agent from jcrew_search's id field, so it is clearly distinguishable from the sibling search and category tools.

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?

Gives real invocation context: 'pid is a style id from jcrew_search's id field' and 'site must match the storefront the pid belongs to (default jcrew)'. This tells the agent the prerequisite and the constraint, though it never states when NOT to use it or names a competing detail-style tool.

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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