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

With no annotations, the description carries the burden of explaining behavior. It discloses that the tool returns the highest or lowest rows by a numeric column and supports a lowest-first mode. It does not mention default limits, tie-breaking behavior, handling of invalid numeric columns, or the shape of the returned rows.

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 one concise sentence and front-loads the core behavior. The added quote 'which is the most/least X' is slightly redundant with 'highest (or lowest) rows,' but it reinforces the intended use case without bloating the 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?

There is no output schema and no annotations, so the description should cover return behavior. It explains the ranking concept and dataset target but omits practical invocation details such as default limit behavior and what fields are returned for each row. The core purpose is clear, but an agent cannot fully predict the result shape from the description alone.

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 parameter description coverage is only 33%, so the description must compensate. It adds meaning by clarifying that 'column' must be numeric and that 'highest/lowest' maps to the ascending parameter. It does not describe the limit parameter's default behavior, though the schema does provide its range.

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 ranks rows by a numeric column and returns the highest or lowest ones, which maps directly to the title 'Rank rows by a numeric column.' This distinguishes it from siblings like dataset_search and dataset_stats.

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 provides a clear usage context: answer 'which is the most/least X' by ranking rows. However, it does not explicitly contrast this tool with alternatives such as dataset_search or dataset_stats, so the guidance is implied rather than explicit.

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