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Labs64

Labs64/NetLicensing-MCP

netlicensing_get_product

Retrieve details of a specific product using its unique identifier, such as name and licensing configuration.

Instructions

Get details of a specific product.

Args: product_number: Product identifier (e.g. 'P001')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_numberYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must fully convey behavioral traits. It only says 'Get details', implying a read operation, but does not disclose authentication needs, error handling (e.g., invalid product_number), idempotency, or rate limits. The minimal description leaves agents guessing.

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 extremely concise: one sentence for purpose and one line for the parameter. It is front-loaded with the core function and uses a structured 'Args' format. No unnecessary words.

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?

For a simple retrieval tool with one parameter and an output schema, the description covers the essential purpose and parameter. Since an output schema exists, the return value does not need elaboration. Missing context about the product's scope (e.g., full details vs. summary) is minor.

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 schema has 0% description coverage, but the description adds an explicit explanation of the parameter: 'Product identifier (e.g. 'P001')'. This provides context and an example, which is valuable beyond the schema's property title and type.

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 'Get details of a specific product', using a specific verb ('Get') and resource ('product'). It distinguishes from sibling tools like create, delete, update, and list products.

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 vs alternatives (e.g., list_products for multiple items, update_product for modifications). The description implies use when you need a single product's details, but no exclusions or comparisons are given.

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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