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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_collection_listings

Retrieve Shopify collection listings with pagination to control batch size, up to 250 per request.

Instructions

Fetch collection listings from the Shopify store

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of listings to fetch (1-250, default: 50)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Fetch' implies a read operation, the description does not disclose pagination behavior, default results, scoping to specific sales channels, or any other operational details beyond what the schema provides. It adds minimal behavioral context.

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?

The description is a single, clear sentence with no redundancy or filler. It is front-loaded with the action and resource, making it easy to parse quickly.

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

Completeness2/5

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

The description is insufficient for a complete understanding. It does not explain what 'collection listings' refers to, how it differs from 'get_collections', or what the return structure looks like. Given no output schema and the existence of closely related sibling tools, more contextual detail is needed.

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?

The input schema provides 100% description coverage for both parameters ('after' and 'first'), so the schema already documents their semantics. The description adds no extra parameter information, which is acceptable given the high schema coverage.

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?

The description states a specific verb ('Fetch') and resource ('collection listings'), and it is clearly distinct from the broader 'get_collections' or 'get_collection' siblings. However, it does not explicitly differentiate itself from those related tools, and the term 'collection listings' is somewhat ambiguous without additional context.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'get_collections' or 'get_product_listings'. There is no mention of typical use cases, prerequisites, or when other tools would be more appropriate.

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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