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

Annotations already establish the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's job is to add traits beyond that — and it does: sort order ('most recently used first') and language scoping. It stops short of noting any result cap or pagination behavior, which is a minor gap for a list tool.

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?

A single sentence with the collection and ordering front-loaded, followed by the returned fields. It is dense but every clause carries information, particularly the field list, since no output schema exists.

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 zero parameters and no output schema, the description carries the return-value burden and does it by enumerating id, name, spec, created_by, created_at, used_at and uses. Only ambiguity in the meaning of 'spec' and any implicit result limit are left unaddressed.

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?

The tool takes no parameters, so the baseline is 4 and there is nothing for the description to disambiguate. Instead it usefully documents the shape of the non-parameterized call by naming the fields returned.

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 definition names the resource precisely ('Saved quizzes of the active language') and adds scope and ordering, so an agent knows exactly what collection is returned. It never routes to a sibling, though — the relationship to quiz_history, quiz_save, or lessons is left for the agent to infer.

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?

There is no when-to-use or when-not-to-use guidance and no named alternative, despite a dense sibling set of quiz_* and other list tools (lessons, notes, topics). The only usage signal is the implicit scope 'of the active language', which is context rather than guidance.

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