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

With no annotations, the description carries the full burden of behavioral disclosure. It does disclose that output order follows the order of the given values, which is a meaningful trait. However, it does not clarify whether the result is a side-by-side comparison view (as the title implies) or just a filtered list, nor does it mention empty-result behavior or case sensitivity.

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?

A single sentence that front-loads the core behavior ('rows ... whose column is any of the given values') and ends with a useful use-case tag. There is no filler or redundancy; every clause earns its place.

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?

The description explains the filtering and ordering but leaves important gaps: no output schema or annotations, no mention of whether the return includes full rows or a side-by-side layout, and no explicit contrast with sibling search tools. For a comparison-focused tool, an agent would benefit from knowing what the output looks like.

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 is the only semantic source for parameters. It effectively explains 'column' as the filter field and 'values' as the values to match, and that the order of 'values' determines the output row order. This compensates well for the missing schema descriptions.

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 behavior: retrieving rows whose column matches any of the given values, preserving the provided order. This is distinct from the vague title 'Compare rows side by side' and gives an agent a concrete picture of the operation. It doesn't explicitly name sibling tools, so differentiation relies on the described filtering behavior.

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 usage context, but the description never explicitly says when to prefer this tool over siblings like dataset_search or dataset_row. An agent might struggle to distinguish this from a generic search tool that filters rows by criteria.

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