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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds value by enumerating the returned metrics, which matters since there is no output schema, but it omits scope details such as whether counts are all-time or over a fixed window, and whether revenue is a currency amount or cents.

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 that front-loads the key framing ('Headline numbers') and then lists metrics. Concise and readable, though the slash-separated '7/30 days' phrasing is slightly compressed and could be clearer.

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 parameters and no output schema, the description carries the full burden of describing the response, and it does list the metric categories. However, it stops short of clarifying aggregation scope, time-window semantics, or value formats (e.g., percentage scaling, revenue units), which an agent would need to interpret the numbers correctly.

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 tool takes zero parameters, so there is nothing for the description to disambiguate beyond what the empty schema shows. Baseline 4 applies; the metric list is the only parameter-like information and it is consistent with the no-input design.

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 concrete metrics returned (total users, new in 7/30 days, active in 30 days, verified %, paid users, revenue), so an agent knows this is a headline application-level metrics summary rather than a per-user tool. It does not explicitly differentiate itself from overlapping siblings such as get_growth_report, get_retention, or get_active_users, which also touch some of these numbers.

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 guidance on when to choose this tool over get_growth_report, get_activation_rate, get_active_users, or get_retention. Usage is only implied by the phrase 'headline numbers,' leaving the agent to infer that this is the dashboard-level overview.

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