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@yawlabs/lemonsqueezy-mcp

by YawLabs

ls_refund_subscription_invoice

Destructive

Issue an irreversible refund for a subscription invoice. Specify the invoice ID and refund amount in cents.

Instructions

Issue a refund for a subscription invoice. This is irreversible — the refund amount is in cents (e.g. 1000 = $10.00).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscriptionInvoiceIdYesThe subscription invoice ID to refund
amountYesRefund amount in cents (e.g. 1000 = $10.00)
Behavior3/5

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

Annotations already include destructiveHint: true, so the description's mention of 'irreversible' reinforces without adding new behavioral traits. It provides no additional details on consequences or side effects beyond the annotation.

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?

Two sentences, front-loaded with purpose, followed by a crucial warning and unit clarification. Every sentence is meaningful and concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers purpose, irreversibility, and unit, but lacks information on return value or error conditions. While adequate for a mutation tool with good annotations, it could be more complete for agent decision-making.

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 coverage is 100% with descriptions for both parameters. The description repeats the cents example already in the schema, adding no new semantic value. Baseline is 3 due to high coverage.

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 'Issue a refund for a subscription invoice,' specifying the action and resource. It distinguishes from 'ls_refund_order' which refunds orders, making the purpose unambiguous.

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 warns 'This is irreversible,' which provides important usage context but does not explain when to use this tool versus alternatives like 'ls_refund_order' or specify conditions for usage (e.g., refund period limits).

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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