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jcrew_size_chart

Read-only

Real body measurements per size (chest, waist, hip, sleeve, length, or a subset depending on the style) in inches and centimeters, for a J.Crew or J.Crew Factory product. pid is a style id from jcrew_search's id field; site must match the storefront the pid belongs to (default jcrew). A measurement of 0 means that column doesn't apply to this style.

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

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only and open-world, so the bar is lower; the description adds real value with units (inches and centimeters), the note that columns vary by style, and the sentinel rule that 0 means the column doesn't apply.

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 sentences, front-loaded with what is returned, then the parameter sourcing, then the edge case. No filler.

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 explained; the description covers content, units, the variable-column caveat, parameter sourcing, and the 0 sentinel. Nothing an agent needs to call this correctly is missing.

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 meaning beyond the schema: it clarifies pid is a style id and specifies 'default jcrew' for the site parameter, which the schema does not state.

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 resource (real body measurements per size) with the concrete columns returned and the product scope (J.Crew/J.Crew Factory). An agent can distinguish this from jcrew_product or jcrew_search without opening the schema.

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 the site/pid matching requirement, which is genuine usage context. It lacks an explicit when-not-to-use statement versus jcrew_product, but the retrieval prerequisite is 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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