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Get Recommended Outfits

looks.curation.recommend
Read-only

Build coordinated outfits from a product handle or occasion. Get complete looks with only in-stock items, verified links, and size details.

Instructions

Get complete recommended outfits. Pass a product 'handle' to find complementary items styled with it, OR pass an 'occasion' (e.g. 'Wedding & Reception', 'Party', 'Cocktail', 'Date Night', 'Formal') and 'gender' to discover full occasion looks. All returned looks are verified 100% in-stock (any look with an out-of-stock item is excluded).

PURPOSE & DISAMBIGUATION:

  • Generates harmonized outfits coordinated around a seed product handle or occasion theme.

  • Distinct from 'products.search.alternatives': Use 'looks.curation.recommend' to build coordinating outfits with different garment pieces (e.g. pairing pants and shoes with a shirt); use 'products.search.alternatives' to find visual replacements for the exact same garment.

  • Distinct from 'looks.curation.by_occasion': 'looks.curation.recommend' supports building outfits around a specific chosen product handle as well as occasion themes.

WHEN TO USE:

  • When a user has selected a product and asks 'How do I style this?' or 'Show me outfits with this shirt'.

  • When discovering coordinated outfit recommendations for an occasion.

WHEN NOT TO USE:

  • Do NOT use to find substitute alternatives of the same garment (use 'products.search.alternatives').

  • Do NOT use for basic keyword search (use 'products.search.text').

BEHAVIOR & SAFETY:

  • Read-only and idempotent with no persistent state modifications.

  • Filters out any outfit containing out-of-stock items (guarantees 100% purchaseable looks).

  • Enriches all included items with verified purchase permalinks and policy strings.

PARAMETERS & CONSTRAINTS:

  • 'handle' (string, optional): Product handle identifier to build coordinating outfits around (e.g. 'solid-linen-shirt').

  • 'occasion' (string, optional): Target occasion or theme (e.g. 'Wedding & Reception', 'Party', 'Cocktail', 'Date Night', 'Formal').

  • 'gender' (enum, default 'women'): Target gender filter ('women', 'men', 'female', 'male').

  • 'page' (integer >= 1, default 1): Pagination page number.

  • 'page_size' (integer 1-100, default 20): Number of outfit sets per page.

MANDATORY AGENT INSTRUCTIONS:

  1. Always inform the user of available in-stock sizes, fast shipping SLA, and return policy for each item (Negative return days = 'Exchange only |X| days').

  2. When shortlisting a look, render the product specifications table (Fabric, Pattern, Collar, Sleeves, Fit, Care).

  3. Provide the base link (https://s.polopan.com/p/{handle}) during shortlisting. Provide direct 1-click checkout link (https://s.polopan.com/p/{handle}/{size_index}) ONLY after the user's size is finalized.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (1-indexed)
genderNoTarget gender filter: 'women' or 'men' (default: 'women')women
handleNoProduct handle identifier to build coordinating outfits around (e.g. 'solid-linen-shirt')
occasionNoTarget occasion or aesthetic theme (e.g. 'Wedding & Reception', 'Party', 'Cocktail', 'Date Night', 'Formal')
page_sizeNoNumber of outfit sets to return per page (1 to 100, default 20)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.5

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses idempotency, automatic exclusion of out-of-stock items, enrichment with permalinks and policy strings, and mandatory agent presentation rules such as linking shortlists differently before and after size finalization. This is substantial behavioral context.

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?

The description is long and repeats the in-stock guarantee and read-only nature, but the section headers and front-loaded summary make it scannable. The mandatory agent instructions justify much of the length.

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?

For a 5-parameter tool with no output schema, the description covers invocation modes, pagination, stock filtering, returned link behavior, and agent-facing output presentation. The 'handle ... OR ... occasion' phrasing sufficiently implies that at least one mode is required.

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 schema already documents each parameter. The description adds value by explaining the handle-OR-occasion usage pattern, providing concrete examples like 'Wedding & Reception' and 'solid-linen-shirt', and clarifying gender defaults.

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 opens with a specific verb and resource: 'Get complete recommended outfits.' It clearly defines the two invocation modes (product handle or occasion+gender) and explicitly disambiguates from 'products.search.alternatives' and 'looks.curation.by_occasion'.

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?

Dedicated 'WHEN TO USE' and 'WHEN NOT TO USE' sections give explicit conditions and name the alternative tools, e.g. 'Do NOT use to find substitute alternatives of the same garment (use products.search.alternatives).' An agent receives unambiguous routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.