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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real value by disclosing what each level record contains (topic list, question counts, mock-exam settings, which topics have theory) since there is no output schema. It omits whether results are paginated or the full set, which keeps it short of a 5.

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 dense sentence with the resource up front and the payload details following. No wasted words, though the parenthetical example list of course names is illustrative rather than essential.

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 zero-required-parameter read tool with no output schema, the description tells the agent what fields come back, which is the main missing piece elsewhere. It does not state ordering, pagination, or whether the list is exhaustive, leaving a minor gap.

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% and the single 'lang' parameter is fully documented in the schema, including default and fallback behavior. The description adds nothing about language, so the baseline 3 applies.

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 resource ('the levels with a question bank') and enumerates the concrete contents (topics, question count, mock-exam settings, theory article availability). This distinguishes it from question- or theory-level siblings like get_questions or list_theory, though it never names an alternative explicitly.

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?

Usage is only implied: an agent can infer this is the discovery entry point before fetching questions or starting an exam. There is no explicit 'use this when...' or any statement about prerequisites or what to call next.

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