Get authenticated user
lemonsqueezy_get_userGet the currently authenticated user/account behind the API key. Good first call to confirm auth. API: GET /users/me.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
lemonsqueezy_get_userGet the currently authenticated user/account behind the API key. Good first call to confirm auth. API: GET /users/me.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true. The description adds context that it confirms auth and provides the API endpoint (GET /users/me), which is helpful. No contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two efficient sentences: first states purpose, second adds usage guidance. Includes API endpoint. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with no parameters or output schema, the description covers the essential: what it does, return value (user/account), usage hint, and API endpoint. Could optionally mention that no additional permissions are needed, but current content is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist (schema coverage 100%), so baseline is 4. Description doesn't need to add parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get the currently authenticated user/account behind the API key', specifying the verb and resource. It uniquely identifies this tool among siblings that retrieve different entities (customers, orders, etc.).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description says 'Good first call to confirm auth', providing a clear use case. It implies using this tool to verify authentication before other calls, though it doesn't explicitly state when not to use or name alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action (get vs list for each entity, plus specific write operations). Filtering parameters further distinguish list tools. No overlapping purposes.
All tools follow a consistent `lemonsqueezy_action_resource` pattern using lowercase and underscores. Actions are consistently get, list, create, cancel, or update.
18 tools cover a broad set of resources (customers, orders, stores, subscriptions, discounts, license keys, prices, products, invoices, variants, checkouts) for a comprehensive e-commerce platform. Each tool earns its place.
While reading (list/get) is well-covered for most resources, creation and deletion are missing for many core entities (customers, products, orders, etc.), which may force agents to rely on external processes. Only subscriptions and checkouts have write support.