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

With no annotations, the description carries the disclosure burden, and it does so well by explaining that counts are computed server-side over the full period and that breakdowns are chart-ready for ra-chart. It does not define exactly what the default period is or explicitly state that the operation is read-only, leaving minor transparency gaps.

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 compact and front-loaded: purpose first, then use-case, then chart mapping, then the default-date tip. Every sentence earns its place with no filler or repetition of schema 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?

For a read-only report with zero required params and no output schema, the description covers return contents, when-to-use, correct computation, and default behavior. It could be more complete by defining the default date period and giving a sense of the response shape, but overall an agent can invoke and interpret this tool 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?

Schema coverage is 100%, and the schema already documents all four optional parameters with formats and inclusive window semantics. The description adds only the default-period behavior and the date-range context, so it stays at the baseline rather than materially enhancing parameter understanding.

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 definition states a specific deliverable: pre-aggregated automation statistics over a date range with counts, pass rate, and platform/device breakdowns. It also distinguishes itself from the sibling automation_sessions_list by explicitly saying it is the correct source for any chart or total, so an agent can tell them apart.

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?

It gives an explicit when-to-use directive ('USE THIS FOR ANY CHART OR TOTAL'), names the alternative (automation_sessions_list), and explains why row tallying would be wrong because it would silently cover only the recent window. It also instructs the agent to omit dates for the default period, which is concrete invocation guidance.

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