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Lorenzo — Premium Streetwear & Denim Shopping

Render product search

render_product_search

Search Lorenzo and render the interactive product carousel. Pass the shopper's product wording through in query without rewriting it. When the shopper states a budget, provide min_price and/or max_price in major currency units; use both with the same value only for an exact price. For one requested category or concept, call this tool exactly once and do not repeat or rephrase the search. If no products are returned, show the empty result and ask before trying a different query or relaxing constraints. For multiple explicitly requested categories, use one faithful combined search when possible; otherwise call this tool once per distinct category. Do not create separate searches for synonyms, colours, styles, audiences, or alternative wording. Use this for browsing or discovery, not as a preliminary lookup for an exact product-detail request. Do not automatically open product-detail tools for returned products to rank, compare, validate, or explain the results. For products to pair or match with a referenced item, use render_complete_the_look instead.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum products to return.
queryYesThe shopper's product wording, passed to Shopify unchanged.
currencyNoISO 4217 currency code.
max_priceNoOptional maximum price in major currency units.
min_priceNoOptional minimum price in major currency units.
buyer_contextNo

Output Schema

NameRequiredDescriptionDefault
typeNoproduct_search_result
queryYes
storeYes
messageYes
productsNo
matchTypeYes
explanationNo
resultCountNo
suggestionsNo
rawResultCountNo
recommendedViewNo
searchCandidatesNo
resolvedProductIdNo
totalCandidateResultsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the full load, and it does well: it discloses call-count discipline (exactly once per category), synonym/colour/style exclusion, no auto-opening of detail tools, and empty-result handling. It does not mention permissions, rate limits, or result ordering/relevance behavior, which keeps it short of a 5.

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?

Purpose and core constraint are front-loaded, and most sentences encode a distinct rule. It is long and slightly repetitive ('do not repeat or rephrase' followed by 'do not create separate searches for synonyms, colours, styles'), so it loses a point for density rather than clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, and the description covers everything else an agent needs: query fidelity, price unit semantics, call-count rules, empty-result behavior, and handoff to sibling tools. Nothing material to correct invocation is missing.

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 83%, so a 3 is the baseline, but the description adds real meaning: query must be passed verbatim without rewriting, prices are in major currency units, and both min_price and max_price should share a value only for an exact price. buyer_context is left unexplained in both places.

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 and resource ('Search Lorenzo and render the interactive product carousel') and distinguishes itself from siblings by naming render_complete_the_look for pairing/matching use. An agent can identify the tool's job without inspecting the schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use (browsing/discovery), when-not-to-use (not a preliminary lookup for exact product-detail requests), alternatives (render_complete_the_look for pair/match; product-detail tools for exact items), and a rule for multi-category requests. It even covers the empty-result path: show it and ask before relaxing constraints.

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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