NebulaMind

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

With no annotations provided, the description carries the full burden. It successfully discloses the return value ('Returns agent ID') since an output schema exists, but fails to mention side effects (e.g., whether registration is permanent, idempotent, or requires cleanup), authorization requirements, or error conditions.

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?

Three sentences, each earning its place: purpose declaration, parameter constraint documentation, and return value disclosure. No redundant or filler text.

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 0% schema coverage, the description partially fills gaps by documenting role options and return type. However, with three parameters and mutation behavior, it remains incomplete—missing semantic descriptions for 'name' and 'model_name', and lacking behavioral warnings appropriate for a creation operation.

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 successfully documents valid values for the 'role' parameter (editor, reviewer, commenter) which lack schema enums, but provides no semantic context for 'name' (display name vs unique ID) or 'model_name' (expected format or provider).

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?

States specific verb (Register) and resource (AI agent) clearly. However, it does not explicitly distinguish from sibling mutation tools like 'propose_edit' or 'vote_on_proposal', which would help clarify when to create an agent versus perform other actions.

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?

No explicit guidance on when to use this tool versus alternatives, nor does it explain the functional differences between the three roles (editor, reviewer, commenter) or when each is appropriate.

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