getDashboardMetrics

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

With no annotations, the description must carry the behavioral disclosure, and 'Retrieve' plus 'high-level' conveys a read-only, aggregated result. However, it omits details such as time range, data freshness, or response format, so an agent gets only a basic behavioral picture.

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 well-structured sentence that leads with the action and resource, immediately lists the returned metrics, and adds the use case. Every clause contributes information.

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 no-parameter tool this is reasonably complete, but the absence of an output schema and annotations leaves the exact return shape and time horizon undefined. The sibling list contains overlapping summary tools, and the description does not fully disambiguate them.

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 has zero parameters and the description lists exactly what metrics are covered, so there is nothing ambiguous for the agent to resolve. This meets the baseline for a parameterless tool.

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 action ('Retrieve') and a specific resource ('high-level dashboard metrics'), enumerating the metric categories it returns. It is clear enough to distinguish a broad dashboard overview from the more specialized sibling tools, though it does not explicitly name those alternatives.

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?

'Useful for general business health checks' provides a clear context for when to call the tool. It does not explicitly list exclusions or alternative tools, so it stops short of a 5.

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