Skip to main content
Glama
YawLabs

@yawlabs/lemonsqueezy-mcp

by YawLabs

ls_activate_license

Activate a license key for a specific instance using the license key for authentication. Provide the license key and an instance name to complete activation.

Instructions

Activate a license key for an instance. Does not require an API key — uses the license key itself for auth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
licenseKeyYesThe license key to activate
instanceNameYesA name for this activation instance (e.g. machine name, user identifier)
Behavior3/5

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

Annotations already indicate non-read-only, non-destructive, and non-idempotent behavior. The description adds the important detail that authentication uses the license key itself. However, it does not disclose side effects like creation of instance records, which might be expected from sibling tool names.

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 minimal with two sentences, each adding essential information: purpose and auth method. No redundant or unnecessary words.

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?

Given the tool's simplicity, the description covers purpose and auth but omits expected output, error handling, and idempotency details. The openWorldHint suggests additional context, but it is not elaborated.

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 well-described in the schema. The description adds no further semantic detail beyond what the schema provides, meeting the baseline.

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 action 'Activate a license key for an instance', specifying both verb and resource. It distinguishes from siblings like 'ls_deactivate_license' and 'ls_validate_license' by the activation action and the unique auth method.

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

Usage Guidelines4/5

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

The description provides a strong usage hint by noting it does not require an API key, which is a key differentiator. However, it does not explicitly contrast with alternative tools like 'ls_validate_license' or specify when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/YawLabs/lemonsqueezy-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server