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

No annotations are present, so the description carries the full burden. It usefully discloses that rows are filtered by column values and returned in the order the values are given. It does not, however, describe exact-match semantics, output shape, or how the comparisons are rendered, leaving some behavior unspecified.

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 entire description is one tight sentence with no redundant wording. It front-loads the core behavior and appends only the relevant use-case hint. Every part contributes to understanding the tool.

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?

There is no output schema or annotation, and the description omits the return format, error behavior, and matching semantics. For a simple two-parameter tool this is partially compensated by the clear filter+order description, but an agent still does not know what 'compare rows side by side' actually returns.

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 0%, so the description must compensate. It does link 'column' and 'values' to their roles ('whose column is any of the given values') and adds the ordering behavior. Yet it does not clarify whether values must be exact strings, how column names are resolved, or any formatting requirements beyond the schema constraints.

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 operation: returning rows whose column matches any of the supplied values, preserving the given order. It also frames the use case as 'X vs Y' questions, which helps distinguish it from generic dataset search or single-row retrieval, though it does not explicitly name a sibling tool.

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 intended context, implying comparison between specific values. However, it does not explicitly state when to avoid this tool or mention alternatives like dataset_search or dataset_row, so usage guidance is implied rather than explicit.

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