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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely new behavioral context beyond that: the returned date is a reference date, not live, so the agent knows results can be stale. It omits any cost, auth, or rate-limit notes.

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?

Three short sentences, front-loaded with the subject, then the concrete return fields, then the key limitation. Nothing is redundant and every sentence adds information the 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?

With no output schema, the description carries the burden of explaining the return value, and it does so for two fields while flagging the staleness caveat. It leaves some ambiguity about whether additional health indicators exist, but for a zero-parameter read tool this is close to 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?

The tool takes zero parameters, which sets the baseline at 4. The description instead spends its words on output field semantics (`import.dump_date`, `import.counts`), which is a reasonable substitute but does not affect parameter interpretation.

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 (company database) and resolves the vague title 'Health' by specifying what is actually reported: `import.dump_date` and `import.counts`. An agent can tell this is a status/freshness probe rather than a data query. It stops short of a clean verb+resource statement, but the field-level detail disambiguates well.

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?

There is no explicit when-to-use or when-to-prefer-an-alternative statement against siblings like api_index or search. The closing caveat ('does not confirm real-time changes') implies the intended use is checking data freshness/reference date, which is useful implied guidance but not a routing rule.

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