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Labs64

Labs64/NetLicensing-MCP

netlicensing_create_product

Create a new product in NetLicensing by defining its number, name, version, and licensing parameters to manage software distribution.

Instructions

Create a new product.

Args: number: Unique product number (e.g. 'P001') name: Human-readable product name version: Product version string active: Whether the product is active description: Optional product description licensing_info: Optional licensing information displayed in the shop licensee_auto_create: Auto-create licensees on first validation attempt vat_mode: GROSS or NET (leave empty to use account default) licensee_secret_mode: DISABLED, PREDEFINED, or CLIENT (leave empty for default)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYes
nameYes
versionNo1.0
activeNo
descriptionNo
licensing_infoNo
licensee_auto_createNo
vat_modeNo
licensee_secret_modeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Create a new product' implies a write/mutation operation, the description doesn't mention permissions required, whether this is idempotent, what happens on duplicate product numbers, error conditions, or what the response contains. Some parameter descriptions add minor behavioral context (like 'leave empty to use account default'), but overall behavioral transparency is limited.

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?

The description is well-structured with a clear purpose statement followed by parameter documentation. Each parameter explanation is concise and to the point. While efficient, the formatting with 'Args:' and bullet-style parameter list could be slightly more polished, but overall it's appropriately sized with minimal waste.

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?

Given that this is a creation tool with no annotations, 9 parameters, and an output schema exists, the description does an adequate job. The parameter semantics are well-covered, but behavioral aspects like permissions, error handling, and creation constraints are missing. The existence of an output schema means return values don't need explanation, but other contextual gaps remain.

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?

With 0% schema description coverage, the description provides essential semantic information for all 9 parameters. It explains what each parameter represents (e.g., 'Unique product number', 'Human-readable product name'), provides examples ('P001'), clarifies optionality ('Optional product description'), and explains special values ('leave empty to use account default', 'leave empty for default'). This fully compensates for the lack of schema descriptions.

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 new product' which is a specific verb+resource combination. It distinguishes from siblings like 'update_product' or 'delete_product' by specifying creation, but doesn't explicitly differentiate from other creation tools like 'create_bundle' or 'create_license' beyond the resource type.

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. While the purpose is clear, there's no mention of prerequisites, when this should be used versus updating existing products, or how it relates to other product management tools in the sibling list.

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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