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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds genuinely useful context beyond that: the split between recorded graph signals and a LIVE re-check, the fact that islands below the configured threshold clear instantly, and the underlying FalkorDB features (algo.wcc, GRAPH.RO_QUERY).

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 front-loaded with the purpose, then the returned fields, then the live re-check semantics, followed by the engine features. It is dense but each clause carries information; only the trailing FalkorDB feature list is arguably incidental implementation detail.

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?

With no output schema, the description carries the burden of describing returns, and it does so thoroughly by enumerating the alert, triage decision, reason, recorded graph signals, and live re-check values. Only edge cases such as behavior for an unknown alert_id are left unaddressed.

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 schema supplies only the name and string type for alert_id and the description does not compensate with format or sourcing details. The single parameter is largely self-explanatory by name, which keeps this at an adequate rather than deficient level.

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 states a specific resource (an alert's triage decision) and frames the purpose as explaining why it was cleared or escalated into a case. It is distinguishable from list_alerts and get_case, though it is phrased around return contents rather than a clear action verb, so it falls just short of the top score.

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 or when-to-avoid guidance, and no sibling alternatives are named. The scenario is only weakly implied by the phrasing 'why an alert was cleared or escalated', leaving the agent to infer when this is preferable to list_alerts or get_case.

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