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gucci_recommendations

Read-only

One Gucci recommendations shelf: normalized product summaries (name, price, image, stock) from either a given product's own "You May Also Like" carousel (style_code set) or the site's general trending-items shelf (style_code omitted). style_code comes from gucci_search's or gucci_category's own style_code field.

Input Schema

NameRequiredDescriptionDefault
maxNoMaximum products to return, defaults to 10, maximum 20
style_codeNoProduct style code to get related items for; omit for the site's general trending-items shelf instead

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 / max / description
      Added value: +"Maximum products to return, defaults to 10, maximum 20"
    • addedInput schema / properties / style_code / description
      Added value: +"Product style code to get related items for; omit for the site's general trending-items shelf instead"
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint, so the description usefully adds that output is normalized summaries with a defined field set and that behavior branches on style_code. It does not discuss pagination, rate limits, or freshness of the trending shelf, but the added return-shape and mode-dependent behavior go meaningfully beyond the annotations.

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, zero filler, and the core purpose plus the mode distinction are front-loaded. The first sentence is dense and packs the field list, mode logic, and default behavior together, which is efficient but slightly overloaded.

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, return values need only light coverage, and the description supplies both mode semantics and the source of style_code, which is everything needed to invoke it correctly. Absent details are non-essential (freshness, pagination) for a 2-param, 0-required shelf tool.

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; the description earns an extra point by supplying the provenance of style_code (it comes from gucci_search's or gucci_category's own style_code field), which the schema does not state. The style_code-presence branching largely restates 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+resource ('One Gucci recommendations shelf' returning normalized product summaries) and enumerates the returned fields (name, price, image, stock). The two-mode framing (a product's own 'You May Also Like' carousel vs. the site's trending shelf) makes it plainly distinct from gucci_search and gucci_category, which it names as the source of style_code.

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?

Clearly explains the selecting condition for each mode: set style_code for a given product's carousel, omit it for the general trending shelf, and tells the agent where to obtain style_code (gucci_search/gucci_category). It gives strong context but names no ineligible cases or competing recommendation siblings, so it stops short of full when/when-not guidance.

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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