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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed world), and the description adds genuinely new context: no account required and the deliberate withholding of the answer, which governs the agent's conversation flow. It stops short of describing set size or what happens when 'position' runs past the end.

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 usage trigger is front-loaded and every sentence carries information (triggers, programs, access model, return shape, exclusion). It is slightly dense and could be split, but there is no 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?

With no output schema, the description takes on the return contract and does so: the scenario, options, and a question ID, explicitly not the answer. The main residual gap is behavior at the boundaries of the question set, which matters for a position-indexed tool.

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%, with the program enum and position semantics already documented in the schema. The description adds no syntax or format detail beyond that, 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 verb and resource ('returns one scenario question from CertArc's free public practice set') and enumerates the supported programs, so an agent can match it instantly. It is clearly differentiated from siblings like check_practice_answer by explicitly noting the answer is never returned here.

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?

Gives concrete trigger phrases ('quiz', 'test me', practice/sample exam questions) plus an explicit exclusion ('Not for real exam questions'). It also routes the answer-checking flow to the complementary step ('The answer ... come only from checking the learner's chosen option'), which corresponds to check_practice_answer.

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