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

No annotations are provided, so the description carries the full disclosure burden. It does not state tie-breaking behavior, the default and 50-row cap on limit, whether full rows or only the ranked column are returned, or whether the column must be numeric (it hints at this by saying 'numeric column' but does not warn about non-numeric input failing).

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 tight sentence that front-loads the operation and appends a compact use-case gloss after the em dash. Nothing is padded, though the sentence could have absorbed one more clause (limit behavior) at little cost.

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 and no output schema, the description must cover both behavior and return shape. It conveys the core operation but omits the return format, the limit default/cap, and ordering tie behavior, leaving meaningful gaps for a tool an agent must call blind.

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 needs to compensate. It adds one genuinely useful constraint — that 'column' should be numeric — but says nothing about 'limit' (range 1-50, default) or what happens when 'ascending' is omitted, leaving two of three parameters effectively undocumented.

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 gives a specific verb and resource ('the highest/lowest rows of the Lettza dataset by a numeric column') and even captures the user question it answers ('which is the most/least X'). It does not differentiate itself from siblings like dataset_stats or dataset_search, but the operation is unambiguous on its own.

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 phrase 'which is the most/least X' implicitly signals the use case (ranking/extremum queries) rather than filtering or comparison. However, it never says when to prefer this over dataset_search, dataset_stats, or dataset_compare, and gives no prerequisites or exclusions.

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