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goat_product

Retrieve detailed GOAT product information including descriptive metadata, per-size pricing, stock status, and live offers. Access normalized data from GOAT's product pages and APIs.

Instructions

Get GOAT product detail. Returns a normalized GOAT product: identity/descriptive metadata (name, brand, SKU, colorway, designer, silhouette, taxonomy, materials, release date, retail price, editorial story, images, full size range, other products featured alongside it), plus live per-size/condition pricing and stock status (lowest price, GOAT Instant Ship price, last sold price, highest current buyer offer). Credential-free public data combining GOAT's own product-page payload with its live pricing and offers APIs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesGOAT product URL slug, the path segment of a https://www.goat.com/sneakers/{slug} product page
country_codeNoISO 3166-1 alpha-2 country code used to localize per-size pricing, defaults to US

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.2

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the transparency burden and does add valuable behavioral context: it is credential-free, uses public data, and combines GOAT's product-page payload with pricing/offers APIs. It doesn't call out rate limiting or potential staleness, but the auth-free read-only nature is well-covered.

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 opening sentence communicates the core purpose immediately, and the long return-value enumeration is dense but useful—it tells the agent exactly what to expect. The structure could be tightened but still 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?

Since there is no output schema, the description compensates by enumerating the returned identity/descriptive and pricing/stock fields in sufficient detail. It doesn't address error conditions or exact response nesting, but the agent can infer the tool's capabilities.

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 coverage is 100%, and both 'slug' and 'country_code' already have descriptive definitions in the schema. The tool description adds no new parameter semantics beyond what the schema provides, so the baseline 3 is appropriate.

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 description opens with a crisp 'Get GOAT product detail' and lists the exact categories of metadata and pricing data returned, making the tool's purpose specific and immediately distinguishable from siblings such as goat_search or goat_product_recommended.

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 clearly sets the context of when to use the tool: to fetch product detail plus live pricing without credentials. It does not mention sibling tools or state any exclusions, but the implied usage boundaries are reasonably clear from the purpose.

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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