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YawLabs

@yawlabs/lemonsqueezy-mcp

by YawLabs

ls_create_customer

Create a new customer in a specified store using their name and email, with optional location fields.

Instructions

Create a new customer in a store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeIdYesThe store ID to create the customer in
nameYesCustomer's full name
emailYesCustomer's email address
cityNoCustomer's city
regionNoCustomer's region/state
countryNoCustomer's country (ISO 3166-1 alpha-2 code, e.g. 'US')
Behavior3/5

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

Annotations indicate readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true. The description states 'Create' which aligns with a write operation. However, it adds no extra detail about side effects, authorization, or error conditions beyond what annotations imply.

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 clear sentence with no redundant words. It is appropriately concise and front-loaded with the core purpose.

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?

The description omits expected return value or response format for a create operation. There is no output schema, and the description does not hint at what is returned (e.g., the created customer object). This lack of completeness could hinder an agent's ability to use the response correctly.

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 description coverage is 100% with each parameter having a description. The tool description does not provide any additional meaning beyond the schema, meeting the baseline expectation.

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 'Create a new customer in a store' clearly specifies the action (create), the resource (customer), and the context (in a store). It distinguishes itself from siblings like ls_update_customer and ls_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 Guidelines3/5

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

The description does not provide explicit guidance on when to use this tool versus alternatives, such as checking if a customer already exists or prerequisites like the store existing. However, the purpose is straightforward for a create operation, so it is minimally adequate.

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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