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

With no annotations provided, the description carries the burden of behavioral disclosure. It does explain the core behavior: retrieving rows sorted by a numeric column in either direction, and clarifies the column must be numeric. However, it does not describe output shape, tie handling, missing-value behavior, or other operational details.

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 with a practical usage example. It front-loads the primary behavior, though the phrase "which is the most/least X" somewhat restates the first part of the sentence.

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 simple ranking tool with no output schema and no annotations, the description gives the essential semantics but leaves some gaps: no example invocation, no explicit mention of the limit parameter, and no guidance on distinguishing from similar data-access tools beyond the stated use case.

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%, so the description must compensate. It usefully clarifies that column is a numeric column and implies the ascending parameter controls whether the highest or lowest rows are returned. The limit parameter is not addressed in the description, though its schema constraints provide some guidance.

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 a specific operation: return the highest or lowest rows of the dataset ranked by a numeric column, with the use-case phrasing "which is the most/least X". This distinguishes it from siblings like dataset_stats, dataset_search, and dataset_row.

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 description gives a clear use context: use this tool when the question is about the most or least values in a numeric column. It does not explicitly name alternatives or exclusion conditions, but the context is sufficiently clear.

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