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license_activate

Activate a Pro license key on all connected servers with a single call. If any server rejects the key, the entire activation fails to ensure consistent license status.

Instructions

Activate one Pro key on every connected server in a single call and return which accepted it. Any rejection fails the whole call, because one server on Pro and another free is invisible to the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesLicense key from the checkout confirmation page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.20.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explicitly reveals atomicity ('Any rejection fails the whole call'), the reason for that design, and the fact that the tool returns which servers accepted the key. It could mention side effects or permissions, but the key behavioral trait is well covered.

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 with no filler. The first sentence front-loads action, scope, and result; the second justifies the failure behavior. Every clause earns its place.

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

Completeness5/5

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

For a single-parameter tool with no output schema, the description fully explains what happens, what the call returns, and the failure semantics. The rationale for the all-or-nothing design is a strong contextual addition that helps the agent predict behavior.

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?

The schema already describes the key parameter fully ('License key from the checkout confirmation page'), so the baseline is 3. The description adds 'Pro' context and the activation scope, but does not add new meaning about the parameter itself beyond what the schema provides.

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 uses a specific verb ('Activate'), names the exact resource ('one Pro key'), defines the scope ('every connected server'), and states the outcome ('return which accepted it'). This clearly distinguishes it from sibling tools like license_status, which is a status check.

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 makes the activation use case obvious and explains the all-or-nothing behavior, but it does not explicitly name alternatives or state when not to use it. A clear context is present, but there are no exclusionary guidelines.

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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