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arr-mcps
by arr-mcps

qui_activate_license

Activate a license key for qui by calling the license activation endpoint. Provide the license details to enable the product.

Instructions

Call qui's POST /license/activate endpoint. Pass path variables directly in arguments, query values in arguments.params, and a JSON request body in arguments.body.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It adds useful behavioral context by specifying HTTP method (POST) and argument mapping (path, query, body). However, it omits side-effect information (e.g., changes to license state), permission requirements, or response behavior. It does not contradict any annotations (none exist).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, dense but not bloated. It front-loads the endpoint and then describes argument structure. Could be slightly clearer with separate sentences for readability, but it is concise and every clause earns its place.

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?

There is an output schema (not shown), so return values are presumably covered. However, the description lacks usage prerequisites, specific path/query/body parameter names, and side-effect warnings. For a mutation tool with no annotations and an empty schema, it leaves some gaps in understanding what the endpoint actually needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty (only an 'arguments' object with no properties), and schema description coverage is 0%. The description significantly compensates by explaining that arguments contain path variables, query values, and a JSON body. This gives meaning to the single parameter, though it does not enumerate the specific path/query/body fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the specific endpoint (POST /license/activate) and the action (activate a license). It distinguishes from sibling tools like validate_license, refresh_licenses, and delete_license by naming the activation endpoint, though it phrases the purpose as 'call endpoint' rather than a plain functional statement.

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

Usage Guidelines2/5

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

No guidance is given about when to use this tool vs alternatives. There is no mention of license activation scenarios, prerequisites (e.g., having a license key), or why one would choose this over validate/refresh/delete. The description only explains how to call the endpoint, not when.

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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