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untitled-developers

Kockatoos Shopify MCP Server

search_customers

Search for customers using a query string with Shopify syntax like email, country, or name. Specify a limit for results up to 250.

Instructions

Search for customers using a query string. Supports Shopify search syntax (e.g. 'email:john@example.com', 'country:US', or just a name).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (e.g. 'email:john@example.com' or 'Jane Doe').
limitNoNumber of results (1–250). Default: 10.
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It fails to mention that the tool is read-only, does not describe pagination behavior, rate limits, or any side effects. This is a significant gap for a search operation.

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?

Two sentences, front-loaded with the core purpose. The first sentence states verb and resource, the second adds concrete examples. No unnecessary words.

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?

Given the simplicity (2 params, no nested objects, no output schema), the description is mostly complete. It covers the query format but does not mention that results are paginated or that the limit parameter exists (though schema covers it). Still adequate.

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?

Schema coverage is 100%, both parameters are described in the schema. The description adds value by specifying the Shopify search syntax with examples (e.g., 'email:john@example.com'), which goes beyond the schema's descriptions.

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 'Search', the resource 'customers', and the mechanism 'using a query string'. It provides concrete examples of Shopify search syntax, distinguishing it from siblings like list_customers and get_customer.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for flexible customer searching via query syntax but does not explicitly state when to use this tool versus siblings like list_customers (for listing all) or get_customer (by ID). No exclusion criteria are given.

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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