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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds that the tool spans both GA4 and Google Ads link data and inspects event definitions, which is useful cross-system context, but it says nothing about what happens when no GA4 link exists, cost/latency, or what the returned report contains.

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?

A single front-loaded sentence with zero filler that names the three inspection targets. It is slightly list-like and could be split or ordered by importance, but nothing is wasted.

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 read-only, zero-required-parameter audit tool with a fully documented schema and no output schema, the description covers the essential scope. Minor gaps remain around behavior when GA4 or Google Ads linking is absent, which an agent would need before confidently invoking it.

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%, including rich enum explanations for detail, date_range, and language, plus property guidance for multi-property cases. The description adds no parameter-level meaning beyond the schema, so the baseline of 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?

The description uses a specific verb ("Check") and enumerates the three resources inspected: Google Ads linkage, paid sessions missing campaign data, and GA4 key event definitions. This distinguishes it reasonably well from siblings like ga4_key_events (which lists events) and ga4_link_google_ads (which creates links), though it never names those siblings explicitly.

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?

Usage is only implied: the three named checks suggest a diagnostic/troubleshooting scenario, so an agent can infer this is for auditing GA4-Google Ads tracking health. There is no explicit when-to-use, no mention of when to prefer google_ads_tracking_audit, gtm_audit, or ga4_key_events, and no statement of prerequisites (e.g., a linked GA4 property).

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