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Labs64/NetLicensing-MCP

netlicensing_validate_licensee

Validate a customer's licenses across all product modules, returning per-module validity, type, expiry dates, and usage counts. Optionally scope to a specific product or use floating/node-locked models.

Instructions

Validate a customer's licenses across all product modules.

Returns per-module validity, type, expiry dates, and usage counts.

Args: licensee_number: Customer to validate product_number: Optional — scope validation to a specific product licensee_name: Human-readable name for auto-created licensees (when licenseeAutoCreate is enabled) session_id: Floating model — unique session identifier action: Floating model — 'checkOut' or 'checkIn' product_module_number: NodeLocked model — target product module node_secret: NodeLocked model — unique device/node secret

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
licensee_numberYes
product_numberNo
licensee_nameNo
session_idNo
actionNo
product_module_numberNo
node_secretNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool validates licenses but does not disclose whether it is read-only, idempotent, or has side effects. No behavioral traits like rate limits or permissions are mentioned.

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 concise: a one-sentence purpose, a return summary, and a parameter list with brief explanations. No fluff or redundancy, every sentence adds value.

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

Completeness4/5

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

Given the 7 parameters, output schema, and no nested objects, the description covers return values and parameter meanings well. However, it omits edge cases (e.g., invalid licensee) and error handling, and lacks prerequisites or usage contexts.

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?

Despite 0% schema description coverage, the description text adds meaning for all 7 parameters by explaining their purposes (e.g., 'licensee_number: Customer to validate', 'action: Floating model — checkOut or checkIn'). This provides context beyond the schema's titles and types.

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 ('Validate a customer's licenses') and the resource ('across all product modules'), and specifies the return values (per-module validity, type, expiry dates, usage counts). This differentiates it from sibling tools like get_licensee or list_licenses.

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 implies usage for validation but does not explicitly state when to use this tool versus alternatives, nor does it provide when-not-to-use guidance. It lists optional parameters for specific licensing models, but lacks explicit contextual direction.

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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