Labs64/NetLicensing-MCP

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a token but fails to describe critical behaviors: whether this is a safe operation, what permissions are required, if it's idempotent, rate limits, or the token's lifespan. This leaves significant gaps in understanding the tool's impact and constraints.

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 well-structured and concise, with a clear purpose statement followed by parameter explanations. Every sentence adds value, and there's no redundant information. It could be slightly improved by front-loading more critical details, but overall it's efficient and easy to parse.

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 complexity (creating a token with scoping), no annotations, and an output schema (which reduces the need to describe return values), the description is moderately complete. It covers the purpose and parameters but lacks behavioral context and usage guidelines. For a mutation tool with security implications, this is a minimal viable description with clear gaps.

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?

The description adds substantial meaning beyond the input schema, which has 0% description coverage. It explains 'api_key_role' with specific enum values (e.g., ROLE_APIKEY_LICENSEE) and clarifies that 'licensee_number' is optional for scoping. This compensates well for the schema's lack of documentation, though it could detail default behaviors or constraints more explicitly.

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 tool's purpose: 'Create a scoped API token.' It specifies the verb ('Create') and resource ('scoped API token'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'netlicensing_create_shop_token' or 'netlicensing_get_token', which would be needed for a perfect score.

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. It lacks context about prerequisites, such as authentication or permissions, and doesn't mention when to choose this over other token-related tools like 'netlicensing_create_shop_token' or 'netlicensing_get_token'. This omission leaves the agent without clear usage direction.

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