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

The description adds meaningful behavioral context beyond annotations: the whole test is created in a single call, question types have specific answer semantics, and placement rules are stated. Annotations already signal a non-read-only, non-idempotent, non-destructive operation, and the description clarifies what the mutation actually does.

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 compact, front-loaded with the core promise, and organized into clear blocks for question types and placement. Every sentence contributes value without 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?

The description covers the most complex parts of the schema: question kinds, correct-answer fields, and placement semantics. It works well with the schema's constraints, though it omits subtle validation guidance such as options being needed for one/many and the meaning of max_attempts=0; with no output schema, a little more would make it fully complete.

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?

With 0% schema description coverage, the description must document parameters. It explains the important nested semantics: kind values, correct_text for text/number, reference_answer and criteria for open, and lesson_id/module_id placement. However, pass_score, max_attempts, and the meaning of weight/is_correct are not addressed, leaving gaps.

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 opens with a specific verb+resource: creating a complete test with questions in one call. It enumerates question kinds and placement targets, making it unambiguous and distinguishable from sibling create_course/create_lesson/create_module tools.

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?

Clear placement guidance is provided: lesson_id places the test as a block at the end of a lesson, module_id as the module's final test, and both or neither are allowed. It does not explicitly name sibling alternatives or state when not to use this tool, so it stops short of a 5.

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