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

No annotations are provided, so the description must disclose behavior itself. It communicates that rows are sorted by a numeric column and either highest or lowest are returned depending on the ascending flag. It does not mention default limits, tie handling, or behavior for non-numeric columns, but the core ranking behavior is transparent.

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 compact sentence that conveys the action and intent without filler. It is front-loaded with the core behavior and the illustrative quote adds usability.

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 covers the main purpose and ranking direction. However, with no output schema and no annotations, the agent still lacks details about the returned row format, limit defaults, or behavior on invalid columns.

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 low at 33% since only 'ascending' has a description. The description clarifies that 'column' must be numeric and that ascending=false gives highest values, but it does not explain the 'limit' parameter, its default, or how the parameters interact. This is inadequate compensation for the sparse schema.

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 operation: returning the highest or lowest rows of a specific dataset by a numeric column, with a helpful 'most/least X' framing. It does not explicitly distinguish itself from sibling tools like dataset_search or dataset_stats, but the ranking behavior is distinctive enough to infer the tool's purpose.

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' provides clear context for when to use this tool. However, it does not contrast with alternatives or state when not to use it, leaving some inference required.

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