Labs64/NetLicensing-MCP

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

No annotations are provided, so the description carries full burden. It states 'List all active tokens' but doesn't disclose behavioral traits like whether this is a read-only operation, if it requires authentication, potential rate limits, pagination handling, or what 'active' means. The description is minimal and lacks necessary context for safe invocation.

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

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

The description is appropriately sized and front-loaded, with the main purpose stated first followed by parameter details. Both sentences earn their place by clarifying the tool's function and the parameter's use, though it could be slightly more structured (e.g., separating usage notes).

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

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

Given the tool's low complexity (one optional parameter) and the presence of an output schema (which handles return values), the description is somewhat complete but lacks depth. Without annotations, it should ideally cover more behavioral aspects like safety or constraints, but the output schema reduces the need for return value explanation, making it minimally viable.

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

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

Schema description coverage is 0%, so the description must compensate. It adds a brief explanation for the 'filter' parameter ('Optional server-side filter expression') with an example ('e.g. 'tokenType=SHOP''), which provides basic semantics beyond the schema's title and type. However, with only one parameter covered, this is adequate but not comprehensive, aligning with the baseline expectation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('all active tokens in the account'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'netlicensing_get_token' (which presumably retrieves a single token) or 'netlicensing_delete_token', missing an opportunity for clearer distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. With siblings like 'netlicensing_get_token' for single tokens and 'netlicensing_delete_token' for removal, there's no mention of usage context, prerequisites, or exclusions, leaving the agent to infer based on naming alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.