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

With no annotations, the description carries the full behavioral burden. It discloses that the tool returns top or bottom rows, but says nothing about the default sort direction, limit handling, behavior with non-numeric columns, ties, or output format.

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 short and front-loads the main action. The explanatory 'which is the most/least X' adds a bit of redundancy but keeps the intent readable; no significant wasted text.

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 tool with no annotations, no output schema, and sparse parameter documentation, the description leaves important operational details unstated, such as the limit default and maximum, default ordering, and expected return shape. An agent would need to inspect the schema further and still may not know the output semantics.

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 description coverage is only 33%, and the description does not explain the 'column', 'limit', or 'ascending' parameters. The phrase 'by a numeric column' hints at the column parameter, but it does not compensate for the low 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 identifies the tool's job: returning the highest or lowest rows of the dataset by a numeric column, phrased as 'which is the most/least X'. This is distinct from sibling tools like dataset_row or dataset_stats, though it does not explicitly name any sibling.

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?

There is no guidance on when to use this tool versus alternatives such as dataset_stats or dataset_search. The 'most/least X' phrasing implies a ranking use case, but no explicit conditions, exclusions, or alternatives are provided.

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