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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered; the description goes further with content-shaping behavior an agent cannot get from structured fields. It discloses conditional output gating (AI abilities only on WordPress 6.9+), the data source ('latest exposure scan'), and how findings are framed ('real issues vs likely false positives'), which are genuinely useful invocation cues.

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 core verdict is front-loaded in sentence one, and the conditional WordPress 6.9+ AI-abilities expansion is correctly deferred to sentence two. The second sentence is dense with four parallel clauses, but each clause names a distinct piece of returned data rather than padding, so it still earns its place.

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 description carries the full burden of describing return content, and it does so thoroughly across health findings, monitor state, recommendations, usage, and AI exposure data. The gap is upstream routing — nothing tells the agent when this overview is the right entry point versus its narrower siblings — but the return-value picture itself is complete.

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 required parameter, siteId, with 100% schema description coverage, so the schema already carries the parameter contract. The description adds no semantics for siteId (e.g. how to obtain one, whether it accepts a slug), which is the expected baseline-3 outcome when the schema does the heavy lifting.

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 names a specific artifact — a plain-language health verdict for a site — and enumerates its contents (issues, monitors with latest run/schedule, setup state, recommendations, run usage, AI abilities), so the agent knows exactly what this tool produces. It does not, however, differentiate itself from near-name siblings like get_site_health, list_checks, or get_performance, so an agent cannot tell from this text alone why it should pick this aggregate over those.

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?

There is no when-to-use guidance and no exclusion of alternatives. The tool sits alongside get_site_health, list_checks, get_activity_log and get_performance, any of which could plausibly serve a similar need, and the description never states the condition that selects this overview instead. The agent must infer usage from the name alone.

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