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Labs64/NetLicensing-MCP

netlicensing_create_product_module

Create a product module with a licensing model in NetLicensing to define software licensing rules and manage access control.

Instructions

Create a product module with a licensing model.

Args: product_number: Parent product number: Unique module number (e.g. 'M01') name: Module name licensing_model: One of: TryAndBuy, Subscription, Rental, Floating, MultiFeature, PayPerUse, PricingTable, Quota, NodeLocked active: Whether the module is active max_checkout_validity: Maximum checkout validity in days (Floating model) yellow_threshold: Remaining time volume for yellow warning (Rental model) red_threshold: Remaining time volume for red warning (Rental model) node_secret_mode: PREDEFINED or CLIENT (NodeLocked model)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_numberYes
numberYes
nameYes
licensing_modelYes
activeNo
max_checkout_validityNo
yellow_thresholdNo
red_thresholdNo
node_secret_modeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries full burden. It implies a write operation ('Create') but doesn't disclose permission requirements, side effects, error conditions, or response format. It does provide useful context about licensing model-specific parameters, but lacks comprehensive behavioral disclosure for a creation tool.

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?

Well-structured with a clear purpose statement followed by parameter documentation. Every sentence earns its place, though the licensing model list could be more efficiently formatted. The information is front-loaded with the core purpose first.

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 9 parameters with 0% schema coverage and no annotations, the description does an excellent job explaining parameter semantics. Since there's an output schema (true), the description doesn't need to explain return values. The main gap is lack of behavioral context for a creation operation.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate fully. It provides excellent parameter semantics: explains what each parameter represents, provides examples ('M01'), lists all possible values for 'licensing_model', and clarifies which parameters are model-specific. This adds substantial value beyond the bare schema.

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 clearly states 'Create a product module with a licensing model' - a specific verb ('Create') and resource ('product module') with additional context about licensing models. It distinguishes from siblings like 'netlicensing_create_product' by focusing on modules, but doesn't explicitly contrast with 'netlicensing_create_license_template' or other module-related tools.

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 on when to use this tool versus alternatives like 'netlicensing_update_product_module' or 'netlicensing_get_product_module'. The description doesn't mention prerequisites, dependencies, or typical use cases beyond the basic creation action.

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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