get_stats

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

No annotations provided, and the description does not disclose behavioral traits such as data freshness, rate limits, or the safety of repeated calls. For a read operation, it is implied but not stated, leaving agents uncertain about side effects.

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?

Single sentence is concise and front-loaded with key information. While efficient, it could benefit from brief structuring to separate purpose from output details.

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 high schema coverage and no output schema, the description does not explain the response format or how filters interact. It is adequate for a simple stat tool but lacks contextual details like default date ranges or null handling.

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 coverage is 100%, so parameters are already documented. The description adds no additional meaning beyond listing the output fields, which does not enhance understanding of how parameters affect results.

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?

Description clearly states the tool gets summary statistics for a website and lists specific metrics (pageviews, visitors, visits, bounces, totaltime). It distinguishes from siblings like get_pageviews and get_metrics by specifying the exact aggregate data.

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?

No guidance on when to use this tool versus alternative tools like get_pageviews, get_metrics, or get_session_stats. Given many sibling tools, explicit use cases or comparisons would help agents select correctly.

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