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

The description discloses important behaviors beyond the annotations: only verified Cobalt account addresses are accepted, unverified addresses cause refusal with a specific user message, and the email contains only a link with no user-provided text. This is exactly the kind of hidden-behavior information an agent needs to avoid failed calls and misaligned expectations.

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 dense but efficient: purpose is front-loaded, the required arguments are stated clearly, and each subsequent sentence adds a necessary constraint or user action. No sentence is filler.

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 and sparse annotations, the description fully equips the agent to call it correctly: all three parameters are identified, the failure mode for invalid emails is spelled out, and the email-content limitation is explicit. Nothing needed for successful invocation is missing.

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 coverage is 100%, so the baseline is 3. The description adds practical value by emphasizing that the email must be the human's verified Cobalt account address, passed verbatim, and by grouping review, claim_token, and email as the required inputs. It does not deeply expand on review or claim_token semantics, but the schema already handles those.

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 names a specific action — emailing a review link to the human who started the run — and clearly distinguishes this from the sibling tools, none of which send email. It also ties the review to create_review via claim_token, making the resource obvious.

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 gives an explicit context for use ('at the end of a long unattended study') and explains the workflow: pass review, claim_token, and email. It does not explicitly name alternatives or state when not to use it, but the sibling set has no competing email tool, so the guidance is still strong.

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