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Labs64

Labs64/NetLicensing-MCP

netlicensing_get_token

Retrieve details for a specific software licensing token to verify its status and properties within the NetLicensing platform.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Get details' but doesn't clarify if this is a read-only operation, what permissions are required, how errors are handled, or the format of returned details. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 appropriately sized and front-loaded with the main purpose in the first sentence, followed by parameter details. It avoids unnecessary words, though the structure could be slightly more polished (e.g., integrating the 'Args' section more seamlessly).

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 the tool's low complexity (1 parameter) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers the purpose and parameter, though it lacks behavioral context and usage guidelines. With annotations absent, it could benefit from more detail on safety or constraints.

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?

Schema description coverage is 0%, but the description includes an 'Args' section that documents the single parameter 'token_number' as 'Token identifier'. This adds meaning beyond the schema's basic type information. However, it doesn't provide examples, format details, or constraints, keeping it at a baseline level of adequacy.

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's purpose: 'Get details of a specific token.' It uses a specific verb ('Get') and resource ('token'), making the action clear. However, it doesn't explicitly differentiate from sibling tools like 'netlicensing_list_tokens' or 'netlicensing_delete_token', which would require a 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'netlicensing_list_tokens' (for listing all tokens) or 'netlicensing_delete_token' (for deletion), nor does it specify prerequisites or exclusions. Usage is implied by the name but not explicitly stated.

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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