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Crawlora MCP

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fanatics_product

Fetch detailed product info from a Fanatics URL: name, brand, price, availability, images, per-size pricing, review ratings, and comparable alternates.

Instructions

Get a Fanatics product's detail. Returns one Fanatics product's detail (name, brand, category, price, availability, condition, images), plus per-size availability/price, a fit/value/quality review-rating breakdown, a richer media gallery, and comparable-product alternates (e.g. a jersey's Game/Limited/Elite stitch tiers) where Fanatics exposes them. Use GET /fanatics/search or GET /fanatics/category to discover product urls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesA fanatics.com product-detail URL, exactly as returned by a fanatics_search or fanatics_category result's url field.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries behavioral disclosure and does it well: it details per-size availability/price, a fit/value/quality rating breakdown, a richer media gallery, and comparable-product alternates, while qualifying 'where Fanatics exposes them.' It doesn't mention side effects, auth, or error behavior, but the operation is clearly a read-only detail fetch.

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 front-load the purpose and each contributes, but the first two sentences both repeat 'product's detail' and the discovery line uses GET-style endpoint names rather than the exact sibling tool names. It is still tight and scannable.

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 one-parameter detail tool with no output schema, this description is complete: it enumerates the returned fields/sections and explains where the required url comes from. An agent can correctly select and invoke the tool without consulting additional context.

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% and the url parameter description already specifies it must be exactly as returned by fanatics_search or fanatics_category. The tool description only restates that discovery path, so it adds no meaningful meaning beyond the schema.

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 opening line states a specific verb and resource ('Get a Fanatics product's detail') and the second sentence expands the exact payload expected. This clearly distinguishes it from fanatics_search/fanatics_category, which discover URLs rather than return a single product's detail.

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?

The description explicitly instructs agents to use GET /fanatics/search or GET /fanatics/category to discover product urls, which is a concrete prerequisite and points to the correct sibling tools. It lacks explicit 'do not use for...' exclusions, but the discovery guidance is unambiguous.

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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