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

Annotations already cover the safety profile (readOnly, non-destructive, closed-world), and the description adds genuinely useful context beyond them: the three lifecycle states including what 'fix_shipped' actually means, coverage of account-level issues, and the latest-pull scan summary. However, it says nothing about staleness/freshness of the pull, rate limits, or whether a re-scan is triggered — gaps that matter for a tool whose value hinges on how current Google's verdict is.

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?

Front-loaded with the core payload and the sibling contrast in the first two clauses; every sentence carries information (return shape, lifecycle semantics, prerequisite, workflow hand-off). It is dense but the long single paragraph with an embedded parenthetical and an em-dash chain makes it slightly harder to scan than it needs to be.

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?

No output schema exists, so the description carries the return-value burden and does so thoroughly — item shape, lifecycle states, account-level issues, and a scan summary. Combined with the prerequisite and the follow-up workflow, an agent has everything needed to decide and call correctly.

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?

Single parameter with 100% schema coverage and a description that already points at list_feeds, so the schema does the heavy lifting. The description adds only the connection prerequisite, not any feedId format or failure-mode detail. Baseline 3 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?

States a specific verb and resource ('Google's OWN verdict on a feed... per-issue-code cases with severity, affected-item counts, sample ids') and explicitly contrasts itself with get_audit_findings. An agent can tell instantly what this returns and how it differs from the audit sibling.

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?

Names the alternative ('the audit is what SKULayer thinks, this is what Google thinks'), states a hard prerequisite ('requires the feed to be connected'), and routes the follow-up workflow ('fixes are built like any rule — preview_rule then create_rule'). When-to-use, when-not, and next step are all explicit.

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