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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds that results are pre-aggregated rather than row-level, but says nothing about scope (global vs per-agent), time window, or whether counts are cached/live.

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, front-loaded with the verb and resource, followed by the exact breakdown categories. No filler and nothing repeated from structured fields.

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 enumeration of returned aggregates does useful work. But scope is unresolved: several sibling tools operate per-agent (get_agent_anomalies) or per-state (get_unresolved_anomalies), and this description does not say whether these stats are system-wide or scoped, nor what time range they cover.

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 there is no schema surface to compensate for; baseline 4 applies. The description correctly implies no filtering input is required.

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?

Clear verb+resource ('Get aggregate anomaly statistics') and it enumerates the dimensions returned (total, unresolved, by severity, by category), which distinguishes it from list-style siblings. It never names those siblings explicitly, so the differentiation relies on inference.

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 word 'aggregate' implies this is for summary counts rather than enumerating individual anomalies, which is a real distinction from get_unresolved_anomalies and get_agent_anomalies. However, there is no explicit when-to-use statement, no exclusion, and no named alternative.

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