kev_stats

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

No annotations are provided, so the description must disclose behavioral traits. It implies a read-only operation ('Get'), but does not discuss side effects, authentication, rate limits, or data freshness. For a simple stats endpoint, some context is missing.

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 sentence (16 words) that immediately conveys the tool's output. It is front-loaded with the main action ('Get KEV catalog statistics') and lists the specific breakdowns, with no wasted words.

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?

Given the tool has no parameters, no output schema, and no annotations, the description provides adequate context about the return values (total count, top vendors, entries per year, ransomware breakdown). It does not mention output format or pagination, but the simplicity of the tool makes this acceptable.

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 input schema has zero parameters, so schema description coverage is 100%. The description adds no parameter info because none exist. Baseline for 0 parameters is 4, 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 clearly states the tool's purpose: to 'Get KEV catalog statistics' including specific breakdowns (total count, top vendors, entries per year, ransomware usage). This distinguishes it from sibling tools like kev_lookup (individual lookups) and kev_search (searching).

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 for aggregate statistics and overview of the KEV catalog. It does not explicitly exclude alternative tools, but the purpose is clear enough that an agent can infer when to use this tool over siblings like kev_recent or kev_search.

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