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

Annotations only declare the mutation/safety profile generically (readOnlyHint=false, destructiveHint=false, idempotentHint=false), so the extra context here is genuinely additive: answers must be user-supplied rather than generated, the live-interview path is excluded, and the response envelope's nextAction drives the next step. No annotation is contradicted, but the phantom confirm parameter weakens confidence in the stated behavior.

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 short sentences, front-loaded with the resource and operation list, then the constraints, then the confirm workflow. No filler and the most decision-relevant content comes first.

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?

An output schema exists and the description correctly points at nextAction instead of restating return values, which is appropriate. But for a 19-parameter multi-operation tool, the description gives no per-operation parameter mapping and the one procedural instruction it does give (confirm) cannot be executed, leaving a real gap for correct invocation.

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 per the baseline this would be a 3; however the description's only parameter-level instruction references `confirm: false` / `confirm: true`, a property absent from the schema under additionalProperties=false. Rather than adding meaning to the 19 real parameters, it introduces a name that will fail validation if used.

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 a specific verb+resource ('Practice written interviews') and enumerates the full operation surface (create | start | answer | finish | review | status), so an agent knows exactly what the tool covers. It also draws a scope boundary against sibling behavior by noting that live interviews live in the dashboard, not here.

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?

Gives clear workflow sequencing guidance ('Returns the response envelope; follow the primary nextAction'), a hard constraint ('Answers must come from the user'), and a preview-then-confirm protocol. The guidance is strong but is undercut by instructing a `confirm` field that does not exist in the schema, which could steer the agent into an invalid call.

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