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Labs64

Labs64/NetLicensing-MCP

netlicensing_get_token

Retrieve the details of a specific licensing token by providing its token number. Use this to inspect token properties and status.

Instructions

Get details of a specific token.

Args: token_number: Token identifier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
token_numberYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

The description lacks behavioral details beyond the basic operation. It does not mention whether the operation is read-only, what happens if the token is not found, or any authentication requirements. With no annotations, this gap is significant.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise (two sentences), but at the cost of missing important details. It is not verbose, but could be more informative without becoming lengthy.

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

Completeness2/5

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

Given the presence of an output schema, the description could explain that output details are defined there. However, it does not cover error behavior, return format, or how this operation fits into the broader API context. For a simple retrieval, more context would help.

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

Parameters2/5

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

The only parameter, token_number, is described as 'Token identifier', which essentially rephrases the schema. With 0% schema description coverage, this adds minimal meaning beyond the schema's type and name.

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 verb 'Get' and resource 'token', indicating it retrieves token details. It is concise and matches the tool name, but does not explicitly differentiate from the sibling netlicensing_list_tokens, which likely provides a list of tokens.

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 like netlicensing_list_tokens or other get tools. There is no mention of prerequisites, context, or conditions for use.

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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