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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description's added content is largely the payload composition (score range, severity buckets), which the output schema already carries, so net new behavioral disclosure is thin.

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 tight sentences, zero filler, with the core subject front-loaded and the entry-point cue placed at the end as a call to action. Every clause 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?

For a no-arg, read-only aggregate with a rich output schema, the description covers what the tool is and when to use it; return values need not be re-explained. Only marginal context (how this relates to list_seo_issues or run_audit) is absent.

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 are no parameter semantics for the description to clarify; the baseline for a no-param tool applies. Nothing is misleading or missing here.

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 verb+resource ('Overall SEO health of the store') and enumerates the returned content (health score, issue counts by severity, last audit time). It clearly reads as the store-level aggregate rather than a page- or issue-level tool, though it never names the sibling it differs from (get_page_seo, list_seo_issues).

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?

'Start here to understand where the store stands' gives explicit entry-point guidance and clear context for when to reach for this tool first. It stops short of stating exclusions or naming follow-up alternatives, so it is clear but not fully routing.

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