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

With no annotations, the description carries the full burden, and it does disclose the meaningful behavior: the call returns freshly generated (non-deterministic) tasks, each self-describing its rules and answer_shape, and it imposes the constraint that the caller must solve them itself. It does not mention auth requirements, whether prior task sets are invalidated, or any rate limits.

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?

Two short sentences, zero waste, with the return contract front-loaded before the routing instruction to lockzone.admission.answer. Every clause carries information an agent needs.

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 describe the return value, and it does (a set of tasks with rules and answer_shape). It omits edge details such as how many tasks are returned or what happens if the tool is called again while an admission is pending, but nothing critical for invoking it correctly is missing.

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 zero parameters, so there is nothing for the description to disambiguate; per the rubric this is the baseline 4. The description appropriately adds no parameter detail because none exists.

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 pairs a specific verb (begin) with the admission resource and, crucially, states what the call yields: a set of freshly generated tasks with their own rules and answer_shape. That distinguishes it from the sibling lockzone.admission.answer, which it explicitly names as the follow-up. It stops short of explaining what 'admission' itself gates, so it is clear but not fully self-contained.

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?

It gives an explicit workflow: call this to get tasks, solve every task yourself, then call lockzone.admission.answer. That is a clear when-to-use directive tied to the named alternative. It does not address when not to call it (e.g. re-calling mid-admission, or using lockzone.leave to abandon), so it lacks exclusions.

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