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arturayupov

livostyle-catalog-mcp

search_products

Filter Livostyle's women's fashion catalog by product type, category, tag, price, and rating to find matching outfits, accessories, or occasion-wear.

Instructions

Search Livostyle's women's fashion catalog. Filters by product type, category, tag, price, rating. Returns matching products sorted by relevance. Use this when the user asks for outfits, clothing, accessories, occasion-wear, or budget-constrained shopping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFree-text search (e.g. 'floral midi dress', 'beach cover-up', 'wedding guest', 'butter yellow').
product_typeNoOptional exact product_type filter (e.g. 'Midi Dress', 'Crop Top', 'Bikini Set').
categoryNoOptional partial category match (e.g. 'Dresses', 'Tops', 'Swimwear', 'Jewelry').
tagNoOptional tag filter (e.g. 'boho', 'floral', 'linen', 'two-piece').
max_price_usdNoMax price in USD.
min_price_usdNoMin price in USD.
min_ratingNoMin average rating (e.g. 4.5).
in_stock_onlyNoOnly products with at least one in-stock variant.
limitNoMax results (default 12, max 50).
Behavior2/5

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

No annotations are provided, so the description carries the burden. It only says returns products sorted by relevance, but does not disclose any behavioral traits like being read-only, side effects, or authentication requirements. Slightly better than nothing but insufficient for a search tool.

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?

Three efficient sentences: action + scope, filters + output, usage guidance. No wasted words, front-loaded with purpose.

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 tool with 9 parameters and no output schema, the description covers essential information: scope, filters, sorting, use case. It mentions the limit parameter but could briefly mention result format. Still, fairly complete.

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 baseline is 3. The description lists the filter types but does not add significant meaning beyond what is already in the schema. No extra context for parameters.

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 clearly states the tool searches the women's fashion catalog with specific filters and returns products sorted by relevance. It uses a specific verb (Search) and resource (catalog), distinguishing it from siblings like get_collection or recommend_outfit.

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?

Explicitly states when to use: 'when the user asks for outfits, clothing, accessories, occasion-wear, or budget-constrained shopping.' It could be improved by also mentioning when not to use.

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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