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moncler_category

Read-only

Fetch one paginated Moncler category listing using a closed category_id value from moncler_categories. Use moncler_search for keyword discovery or moncler_categories to find valid category IDs.

Input Schema

NameRequiredDescriptionDefault
sortNoSort order. One of: price-high-to-low, price-low-to-high. Omit for best-match relevance.
limitNoMax results to return, 1-100. Defaults to 24.
filterNoOptional, repeatable, up to 10. Each value is "key:value" -- pair a response's own facets[].id (e.g. c_refinementColor, c_size) with one of that facet's values[].value (e.g. Black, M) from a prior search or category response. Multiple filter values combine as AND; join several values for the same facet with "|" to OR them, e.g. "c_refinementColor:Black|Blue".
offsetNoResult offset for pagination.
category_idYesCategory id from moncler_categories, e.g. 'men-outerwear-all-down-jackets'.

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. First observed

TDQS

A4.2/5.0
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 real context on top: results are paginated, and category_id must be a closed value sourced from moncler_categories rather than an arbitrary string. It does not discuss rate limits, but the output schema covers return shape.

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?

Two sentences with zero waste: the action and its required input come first, and the sibling-routing sentence follows. Nothing is repeated from the schema or annotations.

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 a fully described 5-parameter schema, an output schema handling return values, and annotations covering the read-only/open-world profile, the only things an agent still needs are the trigger and sibling routing, both of which are present. Very little is missing for a category-listing tool.

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 100%, so the parameters (sort, limit, filter, offset) are already documented in the schema. The description only adds provenance for category_id ('from moncler_categories'), which is marginal beyond the schema's own example value. Baseline 3 is appropriate when the schema does the heavy lifting.

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 uses a specific verb ('Fetch') plus the exact resource ('one paginated Moncler category listing') and pins the input to a 'closed category_id value from moncler_categories'. It also names and contrasts the two sibling tools (moncler_search, moncler_categories), so an agent can distinguish this tool from them without opening any 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?

It gives explicit routing: use moncler_search for keyword discovery, moncler_categories to find valid category IDs. That clearly frames when this tool is the right choice (you already hold a category_id), though it never states the positive trigger as directly as it states the alternatives.

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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