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

No annotations exist, so the description carries the full behavioral burden. It discloses the direction semantics (highest vs lowest) but says nothing about the 50-row cap, null/ties handling, or that this is a read-only operation, leaving meaningful behavioral gaps for a ranking tool.

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?

A single compact sentence that front-loads the core behavior (top/bottom rows by a numeric column) with no filler. Slightly terse for the amount of undocumented behavior it must cover.

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?

With no annotations, no output schema, and one of three parameters undocumented, the description is too thin. It doesn't explain the row shape returned, the limit cap, or what 'column' values are valid, so an agent must infer significant details.

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 coverage is 33% (only 'ascending' is described). The description partially compensates by stating the column must be numeric and that ordering can be highest or lowest, but it says nothing about the 'limit' parameter's 1-50 range or default behavior, so the gap is not closed.

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?

States a specific verb+resource: returning the highest or lowest rows of the Calcul Brut en Net dataset ranked by a numeric column. This is clearly distinguishable from sibling tools like dataset_stats or dataset_search, though the description never names or contrasts them explicitly.

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 parenthetical '"which is the most/least X"' implies the use case (top-N ranking questions), but there is no explicit when-to-use framing, no prerequisites, and no mention of alternatives such as dataset_stats or dataset_search for adjacent needs.

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