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arr-mcps
by arr-mcps

qui_validate_license

Validate a license to confirm it is active and authorized for service access.

Instructions

Call qui's POST /license/validate 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
Behavior2/5

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 only specifies the HTTP method and argument-passing conventions, but does not indicate whether the operation is read-only, requires authentication, or has side effects. The POST method implies a request but 'validate' suggests it may be non-mutating, yet this is not stated.

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?

A single sentence that efficiently communicates the endpoint and the argument structure. It is front-loaded with the action ('Call ...') and follows with the parameter conventions. No wasted words.

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

Completeness2/5

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

Despite having an output schema that may document the response, the description omits behavioral context such as what the validation result indicates, error conditions, or any required setup. For a validation tool with no annotations and an opaque schema, the description is barely functional and leaves the agent to infer key details.

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 completely generic (a single 'arguments' object with no defined properties), so the description's explanation of how to pass path variables, query values, and a request body is essential and compensates for the 0% schema coverage. It gives clear structural semantics that the schema lacks, though it does not enumerate specific fields.

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

Purpose2/5

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

The description essentially restates the tool name: 'Call qui's POST /license/validate endpoint' adds the HTTP method and path but does not explain what validating a license means or what outcome the caller can expect. It does not distinguish from siblings like qui_validate_session or qui_get_licensed_status in terms of purpose.

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 provided about when to use this tool versus alternatives. There is no mention of prerequisites, typical scenarios, or exclusion criteria, so the agent gets no help in choosing between this and related license/session validation tools.

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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