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 useful grading behavior beyond annotations: it explains that a null option means unanswered and counts as wrong, and it outlines the result contents including mistakes with correct answers and theory sections.

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 two sentences with no filler, and every part contributes either return-value information or grading semantics. It is dense but appropriately sized, though the first sentence is a list rather than a front-loaded statement of the tool's action.

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 explain what the tool returns, and it does so by listing score, pass/fail, topic results, mistakes with correct answers and notes, and theory sections. Combined with the fully described input schema and annotations, this is largely complete, though exact output structure is not specified.

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 both parameters and the null option meaning. The description reinforces that null counts as wrong, but it adds little additional parameter-level guidance beyond that and does not elaborate on the lang parameter.

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 clearly identifies the resource as the marks of a finished mock exam and lists what is returned: score, pass/fail, per-topic result, mistakes, and theory sections. It distinguishes this from siblings like check_answer and start_mock_exam by requiring a finished exam, though the phrasing is noun-based rather than an explicit action verb.

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 phrase 'finished mock exam' implies this should be used after completing an exam, which separates it from start_mock_exam and check_answer. However, it does not explicitly name alternatives or state when not to use it, leaving the routing guidance only implied.

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