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Crawlora MCP

moncler_product

Read-only

One Moncler product's full detail: name, brand, price, descriptions, color, composition and care instructions, size availability, live stock, variation attributes, every orderable variant SKU, images, styled-with related products, and a size guide (per-size body measurements and/or a cross-region size conversion table) when available. product_id accepts either a variant-level id or a master/style-level id, as returned by moncler_search/moncler_category's own result ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesA product or master id from moncler_search/moncler_category, e.g. 'L20911A53600689509990'.

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 meaningful context beyond that: the response includes live stock, a size guide only 'when available', and styled-with related products, signaling a dynamic live-data read with optional sections.

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?

Two sentences: a dense but front-loaded field inventory, then the input-provenance note. Every clause carries information, though the long enumeration of returned fields could be trimmed slightly since an output schema exists.

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 need not document return values, and annotations cover the safety profile; the description supplies the input provenance and live-data caveats an agent needs. Coverage is solid for a single-param lookup tool, with only minor redundancy in re-listing output fields.

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% and the schema already documents product_id and its example format. The description still adds value by clarifying that the id may be either variant-level or master/style-level and that it must originate from the two sibling search tools, which the schema doesn't fully spell out.

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?

The description opens with a specific verb+resource pair (retrieves one Moncler product's full detail) and enumerates the exact payload scope. It clearly distinguishes itself from moncler_search/moncler_category by casting itself as the single-item detail endpoint for ids those tools return.

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?

It states where the required product_id comes from (moncler_search/moncler_category result ids) and that either a variant-level or master/style-level id is accepted, which is real routing guidance. It stops short of an explicit when-not or an alternative sibling for other needs, so it is clear context rather than full when/when-not coverage.

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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