get_stats

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

No annotations are provided, so the description carries the transparency burden. It discloses the output dimensions (total records, by state, by category, date range), which is useful, but it does not explicitly state read-only behavior, caching, or possible limitations. The verb 'Get' implies a read operation, but the description could be more explicit.

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 immediately identifies the tool's purpose and lists the key output dimensions. Every word contributes value, with no repetition or filler.

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?

Given that the tool has no parameters and an output schema exists, the description is sufficient. It clearly communicates the aggregate scope and the data dimensions returned, which is complete for a zero-argument statistics tool.

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?

This tool takes zero parameters, so there is no parameter semantics to clarify. The baseline for 0-parameter tools is 4, and the description does not introduce any confusion or extra parameter-related content.

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 states a specific action ('Get') and resource ('DA statistics'), then enumerates the exact breakdowns provided ('total records, by state, by category, date range'). This clearly distinguishes it from sibling tools like search_das or get_da, which focus on individual records rather than aggregate statistics.

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 word 'overall' signals that this is the aggregate-level tool, distinct from the more specific sibling tools. It gives enough context for when to invoke it (when summary statistics are needed), even though it does not explicitly name alternatives or state when-not-to-use.

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