ga4_traffic_by_country

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

Without annotations, the description carries full burden for behavioral disclosure. It does not mention whether the operation is read-only, data freshness, rate limits, or any side effects. The description only covers parameter defaults.

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 fairly concise but repeats default values, which are already in the schema. It could be more streamlined and front-loaded with the core purpose.

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?

Despite having an output schema (not shown), the description does not describe the return format or fields. For a data retrieval tool, this omission limits completeness. Parameters are documented but scope and behavior are vague.

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?

With 0% schema description coverage, the description adds meaningful value by explaining date format and defaults, channel filter pattern, and limit default. However, it does not elaborate on parameter constraints or behavior beyond defaults.

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 retrieves sessions/users/engagement rate broken out by country, which is specific and distinguishes from sibling tools like ga4_channel_breakdown or ga4_traffic_by_device.

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 lists parameters with defaults but does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. Usage context is implied through the tool name and parameter defaults.

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