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Crawlora MCP

nike_product

Read-only

Nike product detail for one color variant: title, description, pricing, images, every offered size, and every other available color. slug and style_color together reproduce Nike's own product page URL and are both returned by nike_search's colors[].slug and colors[].style_color fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
style_colorYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds meaningful scope context -- that this is a single color variant with its offered sizes and other colors -- which helps an agent understand the shape of the result. It adds nothing about auth, freshness, or rate behavior, but an output schema exists so return-value details are not required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler, and the payload contents are front-loaded before the parameter-sourcing detail. Every clause earns its place.

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

Completeness4/5

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

With an output schema present and both parameters explained, an agent has what it needs to invoke the tool correctly. The one notable omission is disambiguation from the near-identically-named sibling nike_product_details, which an agent would otherwise have to guess between.

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 description coverage is 0%, so the description must carry the burden, and it largely does: it explains that slug and style_color jointly reproduce Nike's product page URL and that both originate from nike_search's colors[]. This meaningfully compensates for the bare schema, though it gives no format example (e.g. style_color as 'DD1234-100').

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 resource and scope -- 'Nike product detail for one color variant' -- and enumerates the returned fields (title, description, pricing, images, sizes, colors). An agent knows exactly what this returns. However, it does not distinguish itself from the closely-named sibling nike_product_details, leaving a real ambiguity about which of the two to call.

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

Usage Guidelines4/5

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

Explicitly routes the agent to where the inputs come from: nike_search's colors[].slug and colors[].style_color fields, which establishes the intended call sequence (search first, then detail). No exclusions or when-not-to-use guidance, and no contrast with nike_product_details.

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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