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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is fully covered without the description. The description's added behavior is essentially a restatement of the metric list, which the output schema also covers, so it contributes only modest extra context.

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?

One sentence, zero filler, metrics front-loaded after the scope phrase. Nothing to trim.

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 no-argument aggregate with full annotation coverage and an output schema, the description is sufficient to call the tool correctly. The only missing piece is sibling routing, which is a usage gap rather than a completeness defect.

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 no parameters, so there is nothing for the description to disambiguate; the baseline for a zero-parameter tool applies.

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?

Specific verb+resource ('Get CPE statistics across the archive') with the four metric families enumerated, so the agent knows exactly what comes back. It does not, however, distinguish itself from siblings like get_cpe_by_scan or search_cpe, which are the natural alternatives for CPE data.

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?

Usage is only implied: as a zero-parameter aggregate it is obvious this is the summary view, but the description never says when to prefer it over get_cpe_by_scan (per-scan detail) or search_cpe (lookup). No exclusions or routing guidance are given.

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