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Crawlora MCP

jcrew_search

Read-only

Search J.Crew or J.Crew Factory's product catalog (select with site, default jcrew): normalized product summaries (USD pricing, gender, description) plus the search index's own facets (gender, fabric, category, size, color, price range) with live per-option counts. sort selects relevance/price_asc/price_desc; filter narrows by facet name:value pairs (comma-separated, e.g. productGender:Men) from a prior response's own facets. Best-effort relevance search -- an obscure keyword may return the search index's own semantically-related fallback results instead of an empty result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
siteNo
sortNo
filterNo
keywordYes
per_pageNo

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

A4.1/5.0
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 a genuinely useful behavioral trait beyond the annotations: best-effort relevance may return semantically-related fallback results rather than empty, which sets correct agent expectations. It does not discuss pagination limits or auth.

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?

A dense but front-loaded paragraph where each sentence carries information (scope, return shape, sort/filter mechanics, fallback caveat). Slightly heavy to parse in one block, but no sentence is 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?

For a 6-param tool with an output schema, the description covers scope, site selection, sorting, filtering, and result semantics well. The main gap is that page and per_page pagination behavior is never mentioned, which an agent invoking a search tool would want to know.

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 description coverage is 0%, so the description carries the burden, and it does well for three params: site (values + default), sort (three enum-like values), and filter (syntax plus a concrete example). However page, per_page, and keyword are not explained, leaving half the parameters undocumented anywhere.

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 (search J.Crew/J.Crew Factory product catalog) and goes further by naming what comes back (normalized product summaries plus the index's own facets). An agent can distinguish it from sibling tools like jcrew_category or jcrew_suggest at a glance.

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?

Provides clear operational context: site selects jcrew vs jcrew_factory (with default), sort selects which ordering, and filter narrows via facet name:value pairs sourced from a prior response. It lacks explicit when-not-to-use guidance or sibling routing (e.g. vs jcrew_suggest), so it stops short of a 5.

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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