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

With no annotations provided, the description carries the behavioral disclosure burden. It explains that rows are ordered by a numeric column and that both highest and lowest rows are possible, but it does not describe return format, tie-handling, or why some rows may be excluded. This is adequate but minimal.

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 concise sentence and front-loads the main purpose. The illustrative 'which is the most/least X' earns its place, though the 'Huddlevo dataset' branding adds minor noise.

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 relatively simple read-only ranking tool, the description covers the primary intent but omits important operational details such as the effect of limit, default ordering behavior, and how it differs from sibling tools. No output schema or annotations are present, so more context would be valuable.

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, but it only adds 'numeric column' as a hint. The limit parameter is left unexplained, and the description does not connect 'highest or lowest' to the ascending parameter. The schema already documents ascending, so the description adds little beyond it.

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 identifies the operation as returning the highest or lowest rows of the dataset by a numeric column, using the concrete example 'which is the most/least X'. This conveys the core ranking behavior, though it does not explicitly distinguish itself from siblings like dataset_search or 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 phrase 'which is the most/least X' implies a use case for answering top/bottom questions, giving some practical guidance. However, it does not say when to prefer this tool over alternatives such as dataset_stats, dataset_row, or dataset_search, nor does it mention exclusions.

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