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fashionnova_products

Fetch Fashion Nova product listings with pagination and limit. Returns normalized product data from the public catalog.

Instructions

List Fashion Nova products. Returns normalized products from Fashion Nova's (https://www.fashionnova.com) public product catalog. The storefront URL is fixed server-side. Valid empty result pages return 200 with an empty products array.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page, defaults to 1
limitNoMaximum products, defaults to 50 and supports up to 250
Behavior4/5

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

No annotations are provided, so the description carries the burden. It adds useful behavior: returns normalized products, fixed storefront URL server-side, and valid empty result pages return 200 with an empty products array. This helps an agent understand error/empty semantics beyond what a schema/annotations would imply. Could mention pagination details or rate limits, but the stated behaviors are meaningful.

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?

Three sentences, all informative: what it does, source, and empty-page behavior. No fluff. Front-loaded with the action. The empty-page detail is a bit specific but valuable for an agent to interpret results. Minor redundancy: 'Fashion Nova' appears twice (name and URL).

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?

For a simple list tool with 2 optional params and no output schema, the description covers the key semantics. However, it doesn't mention what fields a normalized product contains, whether pagination continues across pages, or how to distinguish an invalid page beyond the 200-empty-array note. Given the absence of annotations and output schema, a bit more could be said, but it's reasonably complete for the complexity.

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%—page and limit have descriptions including defaults and max. The description doesn't add parameter-level detail beyond restating listing semantics, but since the schema fully covers parameters, baseline 3 applies. It doesn't enrich beyond schema, but doesn't need to.

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: 'List Fashion Nova products' and clarifies it returns normalized products from Fashion Nova's public product catalog. It doesn't explicitly distinguish from sibling tools like fashionnova_collection_products or fashionnova_product, but notes the fixed storefront URL server-side, which helps scope.

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?

The description implies when to use: when you want the general product catalog listing. It notes the URL is fixed server-side, suggesting no storefront selection, but it doesn't explicitly mention alternatives like fashionnova_collection_products for scoped listings or fashionnova_product for a single product. So usage context is clear-ish but lacks explicit exclusion/alternative guidance.

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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