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

With no annotations, the description carries the transparency burden, and it does disclose the core behavior: matching by column membership and preserving the given value order. It does not mention return shape or whether it is strictly read-only, but the title's 'compare rows side by side' plus the selection semantics make the main behavior clear.

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?

One compact sentence packs the resource, selection rule, ordering behavior, and intended use case with no filler. The most decision-relevant information is front-loaded.

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 two-parameter read-style tool with no output schema, the description plus schema covers what an agent needs to invoke it correctly: target column, allowed values, and output row order. It does not explicitly explain the 'side by side' display format, which is a minor gap given the title.

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 0%, so the description must illuminate the parameters. It does: 'column' is the field being matched, and 'values' are the allowed values whose order drives the result order. It does not repeat min/max constraints, but those are already in the 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 states a specific filter-and-order behavior: select rows of the dataset whose given column matches any supplied value and preserve the supplied order. It distinguishes the tool from generic dataset_row/dataset_search by emphasizing 'X vs Y' comparison, though it does not explicitly name siblings.

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 'for "X vs Y" questions' gives a clear use-case context: the tool is for comparing the rows corresponding to two or more specific values in a column. It does not explicitly state when not to use it or name alternatives, but the intended scenario is apparent.

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