Labs64/NetLicensing-MCP

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 it's a list operation, implying read-only behavior, but doesn't specify if it requires authentication, has rate limits, returns paginated results, or what happens on errors (e.g., invalid product_number). For a tool with zero annotation coverage, this is a significant gap, though it minimally indicates a read action.

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: the first sentence states the purpose clearly, followed by a structured 'Args:' section with brief explanations. Every sentence earns its place without redundancy, making it 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 low complexity (list operation), 2 parameters with 0% schema coverage but described in the text, no annotations, and an output schema exists (implying return values are documented elsewhere), the description is fairly complete. It covers purpose and parameters but lacks behavioral details like authentication or pagination, which holds it back from a 5.

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 meaning by explaining 'product_number' as 'Product whose modules to list' and 'filter' as 'Optional server-side filter expression (e.g., 'active=true')', including an example. This clarifies semantics beyond the bare schema, though it doesn't detail filter syntax comprehensively. With 2 parameters well-explained, it scores a 4.

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 as 'List all modules (feature groups) for a product,' which is a specific verb ('List') + resource ('modules for a product'). It distinguishes from siblings like 'netlicensing_get_product_module' (singular get) and 'netlicensing_list_products' (lists products, not modules). However, it doesn't explicitly differentiate from 'netlicensing_list_license_templates' or other list tools, keeping it at 4 rather than 5.

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 doesn't mention prerequisites (e.g., needing a valid product), exclusions (e.g., not for inactive products unless filtered), or comparisons to siblings like 'netlicensing_get_product_module' for single modules. This lack of context leaves the agent to infer usage, scoring a 2.

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