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

The description goes well beyond the annotations by explaining that a wrong guess does not reveal the correct option, that a Verified answer and worked explanation appear only when the round finishes, and that correct answers add a practice link. It also clarifies the comparison-line semantics: attempts used rather than time, anonymous, not the public leaderboard, and excluding dev/staging/test conversations.

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 front-loaded with purpose and return behavior, and every section is relevant. It is somewhat long because it carefully disambiguates the shared-drill comparison line, but it remains readable and free of 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?

There is no output schema, so the description must carry the return-value semantics, and it does: right/wrong, attempts remaining, round-completion answer and explanation, comparison line, anonymity, environment exclusions, and the practice link. It also states the three-attempt limit, which is essential 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 the schema already documents all four parameters thoroughly. The description reinforces that only one option id is submitted and that attempts are per conversation, but it adds little parameter-specific meaning 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?

The description states a specific verb and resource: submit one option id for a ComputePrep drill, and immediately says it grades correctness and reports remaining attempts. This clearly distinguishes it from the sibling retrieval tools like get_daily_drill and get_practice_drill.

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?

The description makes the usage context clear enough: submit an answer during a drill and note the three-attempt limit per conversation. However, it does not explicitly say when to use this versus the sibling get tools, such as calling get_daily_drill first or get_practice_drill for practice questions, so the routing guidance is only implied.

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