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

The annotations already provide readOnlyHint=true, so the read-only nature is covered. The description adds the output dimension of sent versus failed counts, but it does not disclose aggregation behavior, scope (e.g., user-specific vs. platform-wide), or any limits beyond the schema. There is no contradiction with the annotations.

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 no filler words. It communicates the core purpose immediately. However, it is terse to the point of omitting useful clarifying context, so it does not earn a perfect score.

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 simple tool with two optional parameters, a fully described schema, and a read-only annotation, the description is minimally sufficient. The main gap is ambiguity about whether the statistics are scoped to the current user or system-wide, which matters given the sibling tool get_my_alert_performance. There is also no output schema to clarify the exact response structure, but the description's mention of counts partially addresses this.

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 input schema covers both parameters with full descriptions, including defaults and allowed values, so the baseline of 3 applies. The description does not add any extra parameter semantics, but the schema already carries the necessary information about channel filtering and lookback window.

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 that the tool reports alert delivery statistics, specifically counts of sent and failed deliveries. It identifies the resource ('alert delivery') and the output ('how many went, how many failed'), making the core purpose understandable. It does not explicitly differentiate it from sibling tools like get_my_alert_performance, but the resource and focus are reasonably distinct.

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 provides no guidance on when to use this tool versus alternatives such as get_my_alert_performance, list_webhook_events, or get_alerts. It does not mention exclusions, prerequisites, or typical scenarios. An agent must infer usage entirely from the tool name and the parameter schema.

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