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

Annotations already flag destructiveHint=true and idempotentHint=false, and the description adds genuinely new context: answers remain editable later, and the tool is 'UNVERIFIED against a real quiz', warning the agent of unreliable behavior. It stops short of saying what partial state looks like on failure or whether previously saved responses are overwritten, which matters given destructiveHint is set.

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 distinguishing constraint ('WITHOUT finishing') is front-loaded in the first clause, followed by the two-step safety protocol. No filler sentences; every line carries either scope, reliability, or workflow information.

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?

With an output schema present the description needn't explain return values, and annotations cover the safety profile, so the remaining burden is workflow and trust — both addressed. A gap remains around error/partial-save behavior for a destructive, non-idempotent nested-object write.

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 still earns a bump by explaining the dry_run workflow ('call again with dry_run=False (same parameters)'), which clarifies the default's intent better than the schema field alone. It adds nothing about the responses map beyond what the schema already says.

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 first clause gives a specific verb+resource ('Save in-progress answers') and immediately bounds the scope with 'WITHOUT finishing the attempt', which implicitly separates it from process_quiz_attempt. It never names the sibling outright, so an agent must infer the boundary rather than read it, keeping this just 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?

Explicit and prescriptive: call with dry_run=True first, show the preview to the user, wait for explicit confirmation, then re-call with dry_run=False. The precondition (user confirmation) and the ordering are both stated, leaving nothing to inference.

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