Get Visitors by Country

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

With no annotations provided, the description carries the full burden. It discloses return fields (country name, flag URL, visitor count, revenue) but does not mention limitations, default behavior, or any caveats. For a simple read-only analytics 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 that efficiently conveys the action, resource, and return fields. No wasted words; every part adds value.

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?

The description is minimally viable for a 23-parameter analytics tool without an output schema. It explains the purpose and return fields, and the schema covers all parameters. However, it lacks usage guidance, default behaviors (e.g., limit, date range), and any caveats about data granularity or time period, making it incomplete for fully autonomous agent decisions.

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?

Schema description coverage is 100%, so all 23 parameters are already documented in the input schema. The description adds no additional parameter semantics beyond what the schema provides, such as default limit or special filter behavior.

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 the tool's purpose: 'Get visitor counts and revenue broken down by country.' It uses a specific verb (get) and resource (visitor counts/revenue by country), and the country focus distinguishes it from sibling analytics tools like get_cities and get_regions.

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 implicitly conveys when to use this tool: when country-level visitor and revenue data is needed. While it doesn't explicitly mention alternatives, the country-specific wording provides clear context for selection among similar analytics getters.

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