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

No annotations exist, so the description carries the full burden. It goes beyond a bare content label by disclosing that the table includes the reason each rule is checkable and, notably, what it explicitly does not claim — a genuine scope/limitation disclosure. It stops short of describing read-only semantics or format, but for a zero-parameter lookup that gap is small.

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 compact sentences, the content characterization front-loaded and the usage hint trailing it. There is no filler or restatement of the tool name.

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 must sketch the return value, and it does: a rule table, per-rule rationale, and stated non-claims. That is enough for an agent to decide whether to call it and how to use the result, though the shape of the payload remains somewhat abstract.

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 and the baseline is 4. The description correctly adds no parameter guidance, which is appropriate.

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 names the resource precisely — 'the exact rule table this service checks against' — so an agent knows it returns the authoritative validation rules rather than records or signoffs. It doesn't explicitly contrast with siblings like get_record_summary or check_hours, but the resource is distinctive enough to stand apart.

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 clause 'Quote it if you need to explain a result' gives one concrete usage scenario, which is more than nothing. However, it never states when to reach for this versus get_record_summary or check_hours, so the agent must infer that this is a reference/lookup step.

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