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

No annotations are provided, so the description must carry the full behavioral burden. It discloses the core operation (highest or lowest rows by a numeric column) but does not state whether the operation is read-only, how ties or nulls are handled, or what the return format looks like. Core behavior is clear, but side-effect and edge-case transparency is limited.

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 definition is a single front-loaded sentence with a concrete example use case. It is appropriately sized and contains no 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 simple ranking tool, the description gives enough to understand the core operation. But with no annotations, no output schema, and low schema description coverage, it omits limit behavior, default direction details beyond the schema, and return-shape expectations. It is minimally adequate but leaves gaps.

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 should compensate. It adds useful meaning by saying the column must be numeric, which the schema does not state, and its highest/lowest phrasing aligns with the ascending parameter. However, it says nothing about the limit parameter or its default/range, leaving a meaningful gap.

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 that the tool returns the highest or lowest rows of a named dataset by a numeric column, which is a specific and understandable operation. It does not explicitly differentiate itself from sibling tools such as dataset_stats or dataset_row, so it falls short of the highest clarity tier.

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" implies the tool's intended use for ranking questions, but there is no explicit guidance on when to choose it over alternatives like dataset_stats or dataset_search. Usage is inferable rather than stated.

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