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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so the safety profile is covered. The description adds real value by describing the returned content (the metric set), which matters because there is no output schema.

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?

A single compact sentence with the resource front-loaded ahead of the metric list. It earns its place with no filler, though the colon-list format is slightly dense.

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 explaining what comes back, and it does list the metric categories. It is essentially complete for a two-parameter read-only summary tool, with only marginal gaps around aggregation scope or period boundary behavior.

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 100%, so both parameters (productId and range with its enum and default) are already fully documented. The description's 'for a period' only loosely gestures at the range parameter and adds no syntax or default detail beyond the schema, so the baseline of 3 applies.

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 names the specific resource (headline support numbers for a period) and enumerates the metrics returned: conversations, agent-resolved count, votes, cost, and top topics. That is far more specific than a tautology, though it doesn't explicitly differentiate itself from siblings like get_reports or get_suppression_summary.

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 phrase 'for a period' implies a reporting/overview use case, so usage is inferable, but there is no explicit when-to-use statement, no exclusions, and no pointer to which sibling to pick when the agent wants granular reports rather than a headline summary.

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