aggregate_temporal_events

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

No annotations are supplied, so the description carries the full burden. It does disclose one genuinely useful behavior — systems lacking timestamps are skipped rather than silently zero-filled — which prevents a common misinterpretation of the output. It leaves other behavioral questions open: how interval boundaries are anchored, timezone/format expectations for timestamps, whether ordering matters, and error behavior on malformed events.

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 definition is short and front-loads the core action, with no filler sentences. The closing caveat is well placed and earns its space, though the line break splits the first sentence awkwardly.

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?

An output schema exists, so return values need not be explained and the description correctly focuses on the skipping edge case. However, for a tool whose entire input object (event records, filter lists, system scope, interval size) is undocumented at 0% schema coverage, the definition is thinner than the complexity warrants.

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% for four parameters, so the description must compensate and largely does not. "Timestamped events" and "intervals" weakly gesture at the events and interval_minutes parameters, but event_types, system_name, and the default 60-minute interval are never addressed, and no timestamp field naming convention is given for the free-form event objects.

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 gives a specific verb and resource ("Aggregate timestamped EDDN/journal events into a time series") and states the output shape ("intervals with event-type counts"). It does not name or contrast with the closely related temporal siblings (detect_temporal_outliers, detect_change_points, normalize_temporal_activity, check_temporal_persistence), so an agent must infer the boundary itself.

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 explicit when-to-use guidance and no alternatives are named, despite a crowded set of temporal-analysis siblings in the same tool family. The only usage-adjacent statement is the exclusion of timestamp-less systems, which is a data-handling note rather than routing guidance.

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