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

Annotations already establish that this is a safe, read-only, non-destructive, non-open-world operation. The description adds useful context by specifying the returned information and noting that the operation is free, though it does not describe authentication needs, rate limits, or response format. With annotations covering the safety profile, this is a meaningful supplemental disclosure.

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 a single, front-loaded sentence with no redundant or wasted phrasing. It conveys the tool's outputs and cost status efficiently.

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?

For a zero-parameter health-check tool with full annotation coverage, the description provides the essential return values and cost note. No output schema exists, so explaining the returned fields is beneficial, though additional details such as expected response shape or auth requirements would improve completeness.

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 has zero parameters, so parameter semantics are not a concern and the baseline is 4. The description correctly avoids introducing parameter details that do not exist.

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 states a specific verb (return) and resource (service health, service version, and available audit rulepack count). This clearly distinguishes it from sibling tools such as describe_rulepack and list_rulepacks, which focus on rulepack details rather than service status.

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 description implies a diagnostic or monitoring use case by naming health/version/rulepack availability, but it does not explicitly say when to call this versus the rulepack-focused siblings. No exclusions or prerequisites are stated, so the agent must infer appropriate usage.

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