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

Annotations already establish readOnlyHint=true and openWorldHint=false, and the description adds two genuinely useful traits beyond them: questions are randomly drawn (non-deterministic selection) and answers are withheld. It stops short of saying what a returned question object contains, e.g. whether figure ids or option lists are included.

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?

One short sentence with no filler, and the random-sampling behavior is front-loaded. The phrasing 'of a level, of one topic or difficulty when given' is slightly tangled but still readable.

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?

All seven parameters are fully described in the schema, and the description supplies the missing conceptual layer: that output is a random, answer-free question set scoped by the filters. With no output schema, the note that answers are excluded covers the main thing an agent needs to know about returns.

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 defaults, enums, and the count maximum are already documented. The description only restates that level, topic, and difficulty act as optional narrowing filters, adding no syntax or interaction detail beyond the schema.

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 and resource ('Random practice questions') plus the scoping dimensions (level, topic, difficulty) and the key output trait ('without the answers'). It does not name the closest sibling, search_questions, so differentiation from that tool is left to inference.

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?

'when given' implies the optional filters without spelling out when to omit them, and 'without the answers' hints that grading belongs elsewhere (check_answer) but never says so. There are no explicit when-not statements or named alternatives despite twelve sibling tools.

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