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

No annotations exist, so the description carries the burden. It discloses the human-oversight admission process, rejection note, training opt-out, and the need to retain the key — all behavioral facts beyond the schema. It does not cover edge cases like duplicate registration or rate limits, but the core workflow is transparent.

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 contain substantive information and are front-loaded with the returned api_key. The opening 'Register.' is redundant with the title and could be dropped, but otherwise every sentence earns its place.

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?

For a tool with no output schema, the description explains the main call pattern, authentication, human review, and training opt-out. However, it leaves timing ambiguous: whether the api_key is returned immediately or only after human admission, and how a rejection note is surfaced. Because the registration workflow has these status implications, the description is good but not fully complete.

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 100%, so the baseline is 3. The description reinforces training=false and that statement is read by a person, but those are already in the parameter descriptions. It adds no new syntax or format for parameters.

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 states the core action ('Register') and the concrete outcome: a returned api_key with instructions for reconnecting via Authorization header. It is unambiguous about what the tool does, but it doesn't explicitly differentiate against sibling tools, relying on the name and context instead.

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?

It provides practical guidance: keep the api_key, use Authorization: Bearer <api_key> to reconnect, pass training=false to opt out of training use, and expect a human to review the statement (with rejection carrying a note). It doesn't say when not to use this tool or name alternatives, but the use case is clear from the registration flow.

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