Skip to main content
Glama

gymshark_product_recommendations

Read-only

Returns normalized recommended products for one Gymshark (https://row.gymshark.com) product handle. The route handle is resolved to a Shopify product id before fetching recommendations. The storefront URL is fixed server-side. intent: Recommendation intent. Allowed values: related, complementary. Defaults to related. limit: Maximum recommended products to return. Default 10, maximum 20. Use gymshark_product to get a Gymshark product.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum recommended products to return. Default 10, maximum 20.
handleYesRequired. Seed product handle (URL slug) to base recommendations on.
intentNoRecommendation intent. Allowed values: related, complementary. Defaults to related.

Output 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 the safety profile is covered. The description adds genuinely useful non-annotation context: results are normalized, the route handle is resolved to a Shopify product id before fetching, and the storefront URL is fixed server-side.

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

Conciseness3/5

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

Front-loaded and reasonably short, but it spends two sentences restating the intent and limit parameter text that already appears in the schema, which is redundant bulk rather than added meaning.

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 covering return values and annotations covering the safety profile, the description only needs to explain the resource and resolution behavior, which it does. Missing when-to-use guidance keeps this just short of 5.

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 the schema already documents handle, intent, and limit. The description's intent/limit sentences repeat the schema verbatim and add no syntax or behavior beyond it, so baseline 3 applies.

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?

States a specific verb (returns recommended products) and resource (one Gymshark product handle), with scope clarified as 'one product handle'. It also distinguishes itself from the sibling gymshark_product, so an agent can tell the two apart without opening either schema.

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?

Usage is only implied: it says to 'Use gymshark_product to get a Gymshark product,' which helps obtain the seed handle but doesn't state when recommendations is the right choice versus gymshark_products or a collection listing, and gives no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.