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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is fully covered by structured data. The description adds only 'current' (freshness implication) and the breakdown dimension; it discloses no rate limits, caching, or scoping behavior beyond that.

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?

A single sentence that front-loads the verb and resource and then specifies the output dimensions. No redundant or filler content.

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 parameters, full annotation coverage, and no output schema, the description carries the job of enumerating the returned figures (total count, by type, by state) and does so adequately. It could be slightly richer about scope (e.g., geographic coverage), but it is sufficient to call correctly.

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 the baseline is 4. There are no parameters whose semantics need explaining, and the description correctly enumerates the dimensions of the aggregate returned.

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 ('Get current statistics about the veteran resource database') and names the returned metrics ('total count, breakdown by type and state'). It is clearly a read-aggregate tool, distinguishable from search_* siblings, though it does not explicitly differentiate itself from stats-like neighbors such as get_states_summary or get_state_dashboard.

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 usage (fetch aggregate directory metrics) but gives no explicit when-to-use guidance, no exclusions, and no pointer to alternatives for related summary data. A reader must infer the scenario from the resource name alone.

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