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

Annotations already establish readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds real value beyond them: result ordering (most urgent first) and the aggregation rule that findings are grouped by cause and list every affected domain, which nothing in the structured fields conveys.

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?

Two sentences, zero filler, with the output shape front-loaded and the usage recommendation last. Every clause carries information an agent could not infer from the schema.

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 one well-documented optional param, full annotations, and an output schema covering return values, the description supplies what is missing: ordering, cause-based grouping, and cross-domain scope. Only minor gaps remain, such as whether an empty domain set yields an empty result or a clean bill of health.

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?

There is a single optional parameter with 100% schema description coverage, including the useful "leave it out when the token reaches only one" guidance. The description adds nothing about organization_id, so the baseline 3 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?

States a specific resource (advisor findings across all domains) with an explicit verb-like framing of what is returned, including ordering (most urgent first) and deduplication semantics (one finding per cause, naming every affected domain). This is clearly distinguishable from list_domains and the other listing siblings.

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?

"Use it for the state of all domains instead of reading them one by one" gives a concrete selection rule against the per-domain alternative. It does not name list_domains explicitly nor state when-not (e.g., single-domain diagnostics), so it stops short of a full 5.

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