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Kockatoos Shopify MCP Server

get_customer

Retrieve full details of a customer by ID, including addresses, order count, and total spent.

Instructions

Get full details of a single customer by their ID, including addresses, order count, and total spent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYesThe numeric Shopify customer ID.
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. It fails to disclose behavioral traits such as idempotency, error handling (e.g., 404 if not found), authentication requirements, or rate limits. Only the basic operation 'Get full details' is stated.

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 18-word sentence that is front-loaded and to the point. Every word adds value with no redundancy or fluff.

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 simple single-customer lookup with one required parameter and no output schema, the description covers the key return fields (addresses, order count, total spent). Missing error handling details, but overall adequate for the tool's simplicity.

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% with one parameter (customer_id) already described as 'The numeric Shopify customer ID.' The description adds 'by their ID' but no new semantic detail beyond the schema. Baseline 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 verb 'Get', the resource 'full details of a single customer', and the scope 'by their ID'. It also lists specific included fields (addresses, order count, total spent), distinguishing it from sibling tools like list_customers or search_customers.

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 for retrieving detailed single-customer info but does not explicitly state when to use this vs alternatives like list_customers for overviews or search_customers for filtered queries. No when-not or alternative guidance is provided.

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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