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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety and idempotency need no repetition. The phrase 'saved data' does add real meaning: results are precomputed rather than live, which usefully contrasts with get_live_alerts. Beyond that, nothing is said about freshness, staleness, or what happens when no check has been run.

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 action, but everything after the colon is one sprawling comma-spliced sentence that mixes symptoms, metrics, and fixes. The detail is informative rather than padding, yet it is dense and hard to scan; a bulleted breakdown would serve better.

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 burden of describing returns, and it does so thoroughly — scores, weakest pages, behaviour, Meta-ad visitor failure modes, and fix steps. Missing only framing items such as the reporting period, data freshness, and behaviour when no checks exist.

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?

Schema description coverage is 100% and the single brand_id parameter is already documented in-schema ('Brand id from list_brands. Leave it out to use your most recently updated brand'). The description adds no further parameter semantics, 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?

The opening verb+resource ('Get the latest store checks') is followed by a concrete enumeration of what a store check contains (app-browser rendering, Add to Cart visibility, Meta Pixel firing, five scores, weakest product pages, visitor behaviour, Meta-ad visitor failures). That enumeration makes it clearly distinct from siblings like get_performance or get_live_alerts, though the purpose statement itself is a rambling list rather than a crisp one-liner.

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 at all — nothing says whether this is the weekly diagnostic to run before add_to_fix_list, or how it relates to get_live_alerts/get_performance. The only usage hint ('Read only, saved data') describes the data mode, not when to reach for this tool.

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