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

With no annotations provided, the description must disclose behavioral traits. It tells users what kind of insights to expect (spikes, drops, referrers) but does not mention return format, side effects, permissions, or latency. This is a minimal-but-adequate disclosure for a simple 'get' tool.

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 a single, front-loaded sentence with a clear verb and object. It efficiently communicates the tool's purpose and provides illustrative examples without any wasted words.

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 tool with no output schema and no annotations, the description offers enough context to understand the tool's function but leaves the response structure unspecified. It could be more complete by stating what the returned data looks like or listing any caveats, but given the low complexity, it is adequate.

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 schema already provides a 100% description of the only parameter (site_key as 'The site's tracking ID'), meeting the high-coverage baseline. The description adds no additional parameter-level detail, but none is needed.

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 retrieves proactive insights and anomaly detection for a site, with concrete examples (traffic spikes, drops, new referrers). This distinguishes it from siblings like get_site_analytics and get_site_summary, which presumably handle standard analytics and summaries.

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 implies the tool is for detecting anomalies and proactive alerts, but it does not explicitly compare it to alternatives or state when not to use it. The word 'proactive' hints at the use case, but there is no exclusion or alternative referral, so guidance is implicit rather than explicit.

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