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Kockatoos Shopify MCP Server

list_customer_metafields

Retrieve all metafields associated with a Shopify customer using GraphQL. Filter by namespace to get specific custom data.

Instructions

List all metafields for a customer via GraphQL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYesThe numeric Shopify customer ID (or GID).
namespaceNoFilter by namespace.
limitNoNumber of metafields to return. Default: 50.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only mentions 'via GraphQL' without explaining pagination, rate limits, or what data is returned (e.g., keys, values). This is insufficient for a read operation.

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 sentence, front-loading the main action with no fluff. It is concise, though it could be slightly expanded without losing brevity.

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 no output schema and only 3 parameters, the description is too minimal. It fails to explain return format, pagination behavior, namespace filtering nuances, or the limit parameter's effect, leaving agents without sufficient context.

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 coverage is 100% and all parameters have descriptions. The description adds no extra meaning beyond what is already in the schema, so 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 clearly states the action (list), the resource (metafields for a customer), and the method (GraphQL). It distinguishes this tool from siblings like get_customer_metafield (single retrieval) and set/delete variants.

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?

No explicit guidance on when to use this tool versus alternatives like get_customer_metafield. The description implies listing all, but does not mention filtering or when to choose this over related list tools (e.g., list_product_metafields).

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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