lemonsqueezy_cancel_subscriptionWRITE: Cancel a LIVE subscription. It remains active until the end of the current billing period, then moves to cancelled. This affects a real customer. API: DELETE /subscriptions/{id}.
| Name | Required | Description | Default |
|---|---|---|---|
| subscription_id | Yes | Subscription id to cancel (required). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide destructiveHint, but the description adds that the subscription remains active until the period ends and moves to cancelled, plus notes it's a WRITE operation.
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?
The description is three sentences, front-loaded with the action, and includes essential lifecycle and API detail without fluff.
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 single-parameter tool with annotations, the description provides sufficient context, though it could briefly note the return behavior.
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?
Schema covers the single parameter at 100%, and the description does not add new information beyond the schema's description, so baseline 3.
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 it cancels a LIVE subscription and explains the lifecycle, distinguishing it from update or list siblings.
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 implies usage when cancellation is needed and warns it affects a real customer, but lacks explicit when-not-to-use or alternative tools.
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.