Get unique visitors count

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

With no annotations, the description carries the full burden of behavioral disclosure. It adds meaningful semantics by specifying 'distinct visitors' and 'across all time,' which clarifies deduplication and aggregation scope. However, it does not explicitly state that the call is read-only or describe the exact return format.

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 no filler. It conveys the metric, uniqueness condition, and time scope in nine words, making it appropriately sized for a zero-parameter tool.

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 count tool, the description is largely sufficient: it tells the agent what is counted and over what period. It does not explicitly declare the return type as an integer or mention that the operation is safe/read-only, but the simplicity of the tool makes it complete enough to invoke 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 has zero parameters and the schema description coverage is 100%, so there are no parameter semantics left undocumented. The description also reinforces this by committing to an 'all time' scope, implying no date-range or filter inputs.

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 identifies the metric ('Total count of distinct visitors') and its scope ('across all time'), so an agent can understand the tool's core purpose. It lacks an explicit action verb and does not name sibling tools, though 'unique visitors count' naturally distinguishes it from daily views or audience breakdown 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 about when to use this tool instead of related siblings such as get_daily_views, get_audience_breakdown, or get_content_analytics. The description implies a use case by naming the metric, but it provides no exclusions or comparative context.

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