get_monetization_stats

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

Annotations already declare the tool as readOnly, idempotent, and non-destructive, so the safety profile is covered. The description adds that results are tied to a time period ('for the period') and lists the specific metrics, which provides some behavioral context beyond annotations, though it does not disclose aggregation details or other constraints.

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 that immediately states the action and resource, then lists the returned metrics. Every word contributes value; there is no fluff or redundancy.

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 read-only tool with one optional parameter and no output schema, the description adequately covers the return value by enumerating the metrics. It could also clarify whether these are workspace-wide or per-newsletter, but given the tool's simplicity, the description is sufficiently complete.

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 schema already fully describes the single 'period' parameter with an enum and default value. The description's phrase 'for the period' adds no additional semantic meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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 uses the specific verb 'Get' with a clear resource 'newsletter monetization stats' and enumerates the exact metrics returned (paid subscribers, MRR, churn, sponsorship revenue). This distinguishes it from siblings like get_revenue_attribution or get_analytics, which focus on broader or different analytics.

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 implies when to use it (whenever monetization metrics are needed) but provides no explicit guidance on when not to use it or which alternative tools to prefer. Sibling tools like get_revenue_attribution or get_analytics overlap somewhat, and the description does not clarify the boundary.

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