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UVU-Store

shopify-graphql-mcp

by UVU-Store

run_shopifyql_query

Execute ShopifyQL queries to retrieve custom analytics and build reports from Shopify store data.

Instructions

Execute a ShopifyQL query for custom analytics and reporting

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesShopifyQL query string (e.g., 'SHOW total_sales, orders_count FROM sales OVER day SINCE -7d')
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Execute a ShopifyQL query', which implies a read-like operation but does not explicitly state side effects, permissions, rate limits, or what the response contains. This is a significant transparency gap for a tool with no output schema.

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 description is a single, front-loaded sentence with no wasted words. It efficiently communicates the core action and purpose, though it could benefit from a bit more detail without becoming verbose.

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 lack of annotations and output schema, the description is under-specified. It does not explain return values, any limitations of ShopifyQL (e.g., read-only), or how results are formatted. For a query tool with one parameter, more context about expected output and usage would make it complete.

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%, with the 'query' parameter already including a description and example. The tool description adds no extra meaning beyond the schema, so the baseline score of 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?

The description clearly states the tool executes a ShopifyQL query for custom analytics and reporting, using a specific verb and resource. However, it does not explicitly distinguish itself from the sibling tool named 'shopifyql_query', which could cause confusion, so it doesn't fully earn a 5.

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 phrase 'for custom analytics and reporting' implies usage context, suggesting it is for ad-hoc or custom analytics needs. But there is no explicit guidance on when to use this tool versus alternatives like 'get_analytics_report' or 'run_report', nor any exclusion criteria.

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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