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kyliecosmetics_product_recommendations

Get related or complementary Kylie Cosmetics products by product handle, returning up to 20 suggestions for cross-sell and discovery.

Instructions

List Kylie Cosmetics product recommendations. Returns recommended products for one Kylie Cosmetics (https://www.kyliecosmetics.com) product handle. The storefront URL is fixed server-side.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum products, defaults to 10 and supports up to 20
handleYesProduct handle
intentNoRecommendation intent. Allowed values: related, complementary

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.17.5
    • addedInput schema / properties / intent / enum
      Added value: +[
      +  "related",
      +  "complementary"
      +]
  2. Addedv1.16.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only list operation through 'List' and 'Returns' and usefully notes the storefront URL is fixed server-side, but it omits authentication needs, rate limits, pagination behavior, 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?

The description is two front-loaded sentences with no wasted filler. There is minor redundancy between 'List ... recommendations' and 'Returns recommended products,' but the structure is efficient overall.

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

Completeness3/5

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

The tool is simple with three well-described parameters, but there is no output schema and no annotations. The description identifies the return type ('recommended products') and required input, yet it does not describe result composition, pagination, or other behavioral context that would fully compensate for the missing structured fields.

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 schema already documents handle, limit, and intent. The description mentions only the handle and adds no semantic detail beyond the schema; baseline 3 is appropriate when the schema does the heavy lifting.

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?

The description states a specific verb ('List') and resource ('Kylie Cosmetics product recommendations') and scopes it to one product handle. It distinguishes itself from general product-listing siblings through the term 'recommendations,' but it does not name or route against any alternative tool.

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

Usage Guidelines2/5

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

The description only describes input and output ('for one ... product handle'). It gives no explicit when-to-use, when-not-to-use, or sibling routing, such as when to prefer this over kyliecosmetics_product or kyliecosmetics_products.

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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