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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_analytics_report

Get Shopify analytics reports for sales, traffic, customers, products, and orders. Specify date range and granularity to track performance.

Instructions

Fetch analytics reports and metrics from Shopify

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateYesEnd date in ISO format (YYYY-MM-DD)
startDateYesStart date in ISO format (YYYY-MM-DD)
reportTypeYesType of analytics report
granularityNoTime granularity for the report
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. It implies a read-only fetch but does not mention any limitations, such as required date ranges, pagination, potential errors, or what counts as 'analytics reports and metrics'. This is insufficient for a tool without structured safety hints.

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, front-loaded with the verb and resource, and contains zero unnecessary words. It is highly concise and easy to parse, though it omits some critical context that would be expected for a tool of this complexity.

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 four parameters, no output schema, and no annotations, the description is far too sparse. It does not explain return formats, filtering behaviors, granularity effects, or any operational details. For a report-fetching tool, this leaves the agent with substantial unknowns.

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 has 100% coverage with descriptions for all four parameters, including enum values and ISO format requirements. The tool description adds no additional meaning beyond restating the resource type, so it neither enhances nor detracts from the schema. The baseline 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 states the verb 'Fetch' and resource 'analytics reports and metrics from Shopify', making the primary action and target evident. However, it does not distinguish this from siblings like get_reports or run_report, which may overlap in scope, so it lacks explicit 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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention any specific scenarios, exclusions, or relationship to sibling tools like get_report or run_report, leaving the agent to infer usage.

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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