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

Annotations already declare this is a non-readonly, non-destructive, non-idempotent, open-world mutation, so the safety bar is lowered. The description adds genuine context beyond that: it routes the answer to HumanFn's reviewer and moves the request back into review for a quote, disclosing the state transition. It does not mention auth requirements, though the schema documents the access_token.

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?

Two sentences with zero waste; the trigger condition is front-loaded followed by the effect, which is the right order for an agent deciding whether to invoke.

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 3-parameter state-transition tool with full schema coverage and no output schema, the description covers the precondition and the resulting state change well. Nothing essential is missing, though error handling for an out-of-phase request is unspecified.

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 request_id, access_token, and answer are all documented in the schema itself; baseline 3 applies. The description adds no syntax, format, or constraint detail beyond what the schema already provides.

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 (sends the answer) and resource (HumanFn's clarifying question / the request), plus the effect of moving the request back to review. It is clear on its own, but does not explicitly distinguish itself from siblings like request_execution or get_request, which is why it falls short of a 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?

"Use when a request is in phase needs_clarification" gives an explicit, actionable prerequisite that an agent can check before calling. No alternative tools or when-not-to-use conditions are named, so it stops short of 5.

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