traffic_health_check

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

With no annotations provided, the description bears full responsibility. It discloses key behaviors: it aggregates GSC clicks (no page dimension), sums GA4 organic sessions, computes a ratio, and returns one of four statuses. It also explains the boundary logic and the GA4 limit=10000. Minor gap: no mention of data freshness or rate limits.

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 description is reasonably concise, with the core purpose stated first. It adds interpretative guidance and boundary rules efficiently. However, it could be more structured (e.g., bullet points for statuses) to improve scanability.

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?

Given the tool has an output schema (not shown), the description explains return statuses adequately. It covers what the tool does, how it computes results, and the meaning of outputs. It is complete enough for most use cases, though parameter docs are missing.

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 0%, so the description must compensate. However, it does not explain any parameter individually. 'site' is required but not described; 'days' defaults to 28 but no detail; 'property_id' is null by default without explanation. The schema itself has no descriptions, leaving the agent uninformed.

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 clearly states the tool's purpose: compare GSC clicks and GA4 organic sessions to detect tracking gaps. It uses specific verbs and resource names, and distinguishes itself from sibling tools like 'analytics_anomalies' or 'ga4_traffic_sources' by focusing on cross-platform tracking health.

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?

The description explains the use case (detecting tracking gaps) and provides detailed guidance on interpreting the ratio (e.g., tracking_gap, filter_issue, healthy). However, it does not explicitly state when to avoid this tool or mention alternatives among siblings.

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