identify_rare_events

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

Without annotations, the description carries the burden of behavioral transparency. It describes the operation as identifying rare events and specifies the return type, which implies a read-only function. However, it doesn't disclose the rarity calculation methodology, potential performance impacts, or edge-case behavior, leaving room for more transparency.

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 well-structured with an opening summary, Args, and Returns sections, and stays concise. The first two sentences are somewhat redundant, costing a point, but overall every section contributes value.

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?

The description covers the tool's purpose, all parameters, and return value, and the presence of an output schema reduces the need for return details. However, it lacks usage guidance and differentiation from similar analysis tools, and without annotations there are no behavioral caveats.

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 Args section provides meaningful descriptions for all four parameters, including an example for field and a concrete percentage explanation for rarity_threshold. This fully compensates for the 0% schema description coverage, though the timeframe format could be more explicit.

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 opens with a clear verb and object: 'Identify statistically rare events' and adds threat relevance. It distinguishes itself from siblings like detect_anomalies by focusing specifically on rarity and new attack techniques, even though it doesn't explicitly name alternatives.

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?

No explicit guidance is provided on when to use this tool versus siblings like detect_anomalies or baseline_normal_behavior. The threat context implies a hunting use case, but there are no prerequisites, exclusions, or alternative tool recommendations.

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