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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_locations

Fetch Shopify store locations with optional filtering, pagination, and inclusion of inactive records. Retrieve location data to support inventory management and fulfillment operations.

Instructions

Fetch store locations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of locations to fetch (default: 50)
queryNoFilter query
includeInactiveNoInclude inactive locations
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, but it only states 'Fetch store locations'. It does not mention pagination behavior (despite pagination parameters in the schema), default filtering, inactive location handling, or return format, leaving significant behavioral ambiguity.

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?

The description is extremely concise with no wasted words, but it borders on under-specification. The three-word phrase is efficient yet fails to provide adequate context, similar to a minimal stub rather than a properly structured description.

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?

Given the tool has 4 parameters, no output schema, and no annotations, the description is too sparse. It does not explain pagination, filtering options, inactive flags, or return value expectations, making the description incomplete for an agent to invoke the tool correctly without additional assumptions.

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 already documents all 4 parameters with descriptions, achieving 100% coverage. The tool description adds no additional parameter semantics, so the baseline score of 3 is appropriate.

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 clearly uses the verb 'Fetch' with the resource 'store locations', which indicates the core purpose. However, it does not explicitly distinguish this list-style operation from the sibling tool 'get_location' (singular), so it is clear but lacks sibling differentiation.

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?

There is no guidance on when to use this tool versus alternatives like 'get_location', 'get_collection', or other location-related tools. The description provides no context on appropriate use cases or exclusions.

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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