Fetch normalized details for a single Fashion Nova product using its URL slug, returning structured product data for catalog, pricing, or inventory checks.
Get a Fashion Nova product. Returns normalized product detail for one Fashion Nova (https://www.fashionnova.com) product handle. The storefront URL is fixed server-side; handle is the product's URL slug.
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | Product handle |
Changes observed during successful MCP inspections.
v1.16.0Does 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 usefully discloses that the storefront URL is fixed server-side and that output is normalized product detail, implying a read-only lookup. However, it does not explicitly state that there are no side effects or what happens on invalid handles, leaving some behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences front-load the core purpose and then add necessary context about normalization and URL construction. There is no filler, tautology, or redundant restatement of the tool name; every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter read tool with no annotations and no output schema, the description is mostly complete: it explains the input semantics, the output type (normalized product detail), and the fixed server-side base URL. It lacks guidance on discovering handles and the exact fields returned, but these are minor given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only says 'Product handle,' but the description adds meaning by defining handle as the product's URL slug and clarifying the storefront URL is fixed server-side, so the handle is not a full URL. This enriches the schema beyond its baseline 100% coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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 a Fashion Nova product') and clarifies it returns normalized product detail for a single product handle. This singular scope separates it from plural/list and recommendation siblings like fashionnova_products and fashionnova_product_recommendations, though it does not name them explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance about when to choose this tool over sibling tools such as fashionnova_products, fashionnova_search_suggest, or fashionnova_collection_products. The description states what the tool does but not how to discover a handle or when this tool is preferred, so an agent must infer usage from the tool name and sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.