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create_customer

Add new customers to your Lemon Squeezy store by providing essential details like name, email, and store ID, enabling customer management for payment and subscription workflows.

Instructions

Create a new customer in a store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeIdYesThe store ID
nameYesCustomer name
emailYesCustomer email
cityNoOptional: Customer city
countryNoOptional: Customer country
regionNoOptional: Customer region/state
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states it creates a customer but doesn't disclose what happens on success/failure, whether it's idempotent, if it requires specific permissions, or how it handles duplicates. For a mutation tool with zero annotation coverage, this is inadequate.

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, efficient sentence that gets straight to the point with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.

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?

For a creation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool returns, error conditions, or behavioral constraints. Given the mutation nature and lack of structured data, more context is needed for safe and effective use.

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%, so the schema fully documents all 6 parameters. The description adds no parameter-specific information beyond implying a 'store' context, which is already covered by the 'storeId' parameter description. Baseline 3 is appropriate when the schema does all the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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

The description clearly states the action ('Create') and resource ('new customer in a store'), making the purpose immediately understandable. It distinguishes from obvious siblings like 'update_customer' or 'list_customers' by specifying creation, though it doesn't explicitly differentiate from all potential creation tools like 'create_checkout'.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., store existence), when not to use it (e.g., for existing customers), or refer to sibling tools like 'update_customer' for modifications or 'list_customers' for viewing.

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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