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Labs64

Labs64/NetLicensing-MCP

netlicensing_list_product_modules

List all feature groups (modules) for a specific product, with optional server-side filtering to refine results.

Instructions

List all modules (feature groups) for a product.

Args: product_number: Product whose modules to list filter: Optional server-side filter expression (e.g. 'active=true')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_numberYes
filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Without annotations, the description fails to disclose behavioral traits beyond the action 'list'. It does not mention side effects, permissions, read-only nature, rate limits, pagination, or response format, despite having an output schema.

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 concise, front-loading the purpose in the first sentence, and uses a simple args list. It is easy to scan and contains no extraneous information.

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?

For a simple list tool with few parameters, the description covers the basics. However, it misses context like output structure, pagination, and error handling, which would enhance completeness.

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

Parameters3/5

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

With 0% schema coverage, the description adds basic meaning: product_number is the product whose modules to list, and filter is an optional server-side filter expression with an example. This is minimally adequate but lacks depth (e.g., filter syntax details).

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 the tool lists all modules (feature groups) for a product, using a specific verb and resource. It distinguishes itself from sibling tools like create, get, delete by focusing on listing.

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 on when to use this tool versus alternatives (e.g., get_product_module for a single module, or when to use filters). The description lacks context for appropriate usage.

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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