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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_shop_policies

Retrieve shop policies including refund, privacy, and terms of service from your Shopify store.

Instructions

Fetch shop policies (refund, privacy, terms of service, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations were provided, so the description carries the full burden. While it implies a read-only operation ('Fetch'), it does not disclose the return shape, whether it returns all policies in one call, or any specific behavioral traits. It adds little beyond the operation name.

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, focused sentence that front-loads the primary action and resource, followed by clarifying examples. No unnecessary words or repetition.

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

Completeness3/5

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

Given the simplicity (zero params, no output schema), the description is minimally sufficient but lacks details about return value structure and differentiation from the sibling 'get_legal_policies'. It could benefit from a brief note on when to use this tool versus related legal policy tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and schema coverage is trivially 100%. The description does not need to explain parameters, and the baseline for zero-parameter tools is 4. Examples in the description help clarify expected content but are not required.

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 uses a specific verb 'Fetch' and identifies the resource 'shop policies' with examples (refund, privacy, terms of service). It clearly states what the tool does, but it does not distinguish itself from sibling tools like 'get_legal_policies', which may serve a similar purpose.

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. It simply states what it does without mentioning when it should be preferred over similar sibling tools (e.g., get_legal_policies) or any preconditions.

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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