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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_customer

Fetch a specific customer from Shopify by ID to retrieve their profile details. Use this to access customer information for account management and support.

Instructions

Fetch a specific customer by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCustomer ID (e.g., 'gid://shopify/Customer/123456789')
Behavior2/5

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

No annotations are provided, and the description is minimal. It does not disclose response format, error behavior, or the scope of data returned. 'Fetch' implies a read-only operation, but this is not explicit, and the description carries the full burden for behavioral disclosure.

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, concise sentence that front-loads the action and resource. No redundant information is present.

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

Completeness4/5

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

For a one-parameter read tool, the description is mostly adequate. However, since there is no output schema, the agent lacks guidance on what the tool returns (e.g., customer fields) and potential error conditions. This slight gap keeps it from a perfect score.

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 schema provides complete description for the only parameter 'id', including an example. The description adds no additional parameter semantics, so with 100% schema coverage, 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Fetch' and clearly identifies the resource as 'a specific customer by ID'. This unambiguously distinguishes it from sibling tools like get_customers (likely list) and other customer-related operations.

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 description implies usage when you have a known customer ID, but provides no explicit guidance on when to use this vs. alternatives like get_customers or search. There is no mention of exclusions or when not to use it.

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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