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prada_search

Read-only

Search Prada's product catalog by keyword, through its own public search index. q is required; gender and sort are the same optional values prada_category accepts. Keyword search is typo-tolerant relevance ranking, not a guaranteed exact match. A query with genuinely zero matches returns a well-formed empty result rather than an error.

Input Schema

NameRequiredDescriptionDefault
qYesFree-text search query
pageNoOne-based page number, defaults to 1
sortNoSort order. Allowed values: suggested, price_asc, price_desc, newest. Defaults to suggested (Prada's own relevance ranking). Documented values: suggested, price_asc, price_desc, newest.
limitNoResults per page, defaults to 24, maximum 100
genderNoGender filter. Allowed values: Woman, Man. Documented values: Woman, Man.

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. Changed5 schema fields changed
    • addedInput schema / properties / gender / description
      Added value: +"Gender filter. Allowed values: Woman, Man. Documented values: Woman, Man."
    • addedInput schema / properties / limit / description
      Added value: +"Results per page, defaults to 24, maximum 100"
    • addedInput schema / properties / page / description
      Added value: +"One-based page number, defaults to 1"
    • addedInput schema / properties / q / description
      Added value: +"Free-text search query"
    • addedInput schema / properties / sort / description
      Added value: +"Sort order. Allowed values: suggested, price_asc, price_desc, newest. Defaults to suggested (Prada's own relevance ranking). Documented values: suggested, price_asc, price_desc, newest."
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), and the description adds real behavioral context: relevance ranking is typo-tolerant and not an exact match, and a zero-result query returns a well-formed empty result instead of an error. That meaningfully reduces agent uncertainty about result quality and error handling.

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?

Four short sentences with no padding; the core search purpose is front-loaded and each subsequent sentence adds a distinct fact (required param, shared filters, ranking behavior, empty-result behavior). Efficient and well-ordered, though slightly dense.

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 not be explained, and the description covers the key remaining gaps (ranking tolerance, empty results). For a read-only, well-annotated search tool with full schema coverage, this is essentially complete; only explicit sibling routing is missing.

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 all five parameters are already documented in the schema, making 3 the baseline. The description confirms q's requirement and cross-references gender/sort values to prada_category, but adds no syntax or format detail beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Search Prada's product catalog by keyword') and adds the mechanism ('through its own public search index'), so an agent knows exactly what it does. It references prada_category for shared parameter values but never contrasts its purpose against prada_suggest or prada_category, so sibling differentiation is only partial.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It notes q is required and points to prada_category as the source of the same gender/sort values, which is useful routing context, but there is no explicit 'use this when / not when' and no comparison against the other Prada search-adjacent siblings. Usage is implied rather than stated.

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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