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Crawlora MCP

goat_product_recommended

Read-only

GOAT recommended/related products for a given product (other colorways, similar products) -- descriptive metadata only, no live pricing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesGOAT product URL slug to find related products for.
countYesNumber of recommended products to return. Defaults to 8, maximum 24.

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

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real value beyond that by disclosing the data scope ('descriptive metadata only, no live pricing'), telling the agent what it will and won't get back. It stops short of covering pagination or result-count behavior.

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?

A single compact sentence with the core purpose front-loaded and one clarifying scoping clause appended. Zero filler; every phrase 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, the description needn't explain return values, and readOnly annotations cover the safety profile. It communicates purpose and data scope adequately; only minor gaps remain around result limits and how recommendations are sourced.

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%, so both 'slug' and 'count' (with its default 8 / max 24) are already fully documented in the schema. The description adds no per-parameter syntax or format detail, so the baseline 3 applies.

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 and resource ('GOAT recommended/related products for a given product') and even enumerates the kinds of relations ('other colorways, similar products'). This clearly separates it from goat_product (single product detail), though it never names or contrasts a sibling tool explicitly.

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 clause 'descriptive metadata only, no live pricing' implicitly scopes usage (don't call it for prices), which is a useful boundary. However there is no explicit when-to-use guidance, no mention of when-not to use it, and no routing to alternatives like goat_product, goat_search, or goat_curated.

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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Resources