Get audience breakdown

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

No annotations are provided, so the description carries the burden of describing behavior. It does state the output behavior (breakdown by dimension with counts per value), but it does not disclose scoping, time range, read-only status, or any limits. For a simple read tool this is acceptable but not rich.

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 concrete examples and the key output detail (counts per value). There is no filler 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 zero-parameter tool, this is mostly sufficient, but because there is no output schema and no explanation of how dimensions are selected or scoped, an agent may still be uncertain about the exact response. The lack of differentiation from overlapping analytics siblings also weakens completeness.

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 has zero input parameters, so the baseline is 4. The description adds useful meaning by giving dimension examples and clarifying the output shape, compensating for the otherwise empty schema.

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 what the tool does: it returns a visitor breakdown by dimension with counts per value. Concrete dimension examples (device_type, browser, os, country) help distinguish it from generic analytics tools, though it does not explicitly differentiate from sibling analytics tools.

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 guidance on when to use this tool versus alternatives like get_unique_visitors_count, get_analytics_detail, or get_content_insights. The name and description imply a use case, but no explicit context, conditions, or exclusions are provided.

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