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YawLabs

@yawlabs/lemonsqueezy-mcp

by YawLabs

ls_get_customer

Read-onlyIdempotent

Get a specific customer by ID to retrieve their name, email, location, MRR, total revenue, and portal URL.

Instructions

Get a specific customer by ID, including name, email, city, country, MRR, total revenue, and customer portal URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerIdYesThe customer ID
includeNoComma-separated related resources to include (e.g. 'store,orders,subscriptions,license-keys')
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds value by listing the specific fields returned and mentioning the include parameter for related resources, enhancing transparency beyond annotations.

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 that front-loads the purpose, with no extraneous 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 tool's low complexity (2 params, no output schema, rich annotations), the description is sufficient. It covers what the tool does and key fields, though it could explicitly state that a single customer object is returned.

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 both parameters described. The description adds no extra meaning beyond what is in the schema; listing returned fields is beneficial for output understanding but not for parameter semantics.

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 tool retrieves a specific customer by ID and lists the fields returned (name, email, etc.), distinguishing it from sibling tools like ls_list_customers and ls_update_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 ls_list_customers for multiple customers or ls_update_customer for modifications. Usage is implied but not stated.

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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