dataset_info

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

The description discloses what information is returned (freshness, period, row counts, caveats), implying a read-only operation. However, it does not mention any additional behavioral traits such as performance, data recency, or required permissions, which would be valuable given no annotations.

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 concise sentence that lists the key pieces of information provided. Every word contributes to clarity without waste, earning a top score.

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 zero parameters and no output schema, the description adequately conveys what the tool returns. It lacks details about the return format or whether it applies to a single dataset, but it is fairly complete for a simple metadata 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?

No parameters are defined in the input schema, so the description does not need to add parameter meaning. The baseline score of 4 is appropriate, as there is no burden to compensate for schema coverage.

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 provides per-dataset freshness, current period, row counts, and key caveats. It specifies the type of information, distinguishing it from sibling tools that focus on budgets, schedules, or other metrics.

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 is given on when to use this tool versus alternatives. While sibling tools exist for other analyses, the description does not provide context or criteria for selecting dataset_info.

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