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

Since no annotations are provided, the description must disclose behavioral traits. It states that rows are returned in the order given, which is a useful behavioral detail. However, it does not mention that the operation is read-only (though that is implied), what happens if no rows match, whether the returned rows include all columns, or any error handling. The description is minimal and leaves several behavioral aspects unstated.

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 sentence that is concise and front-loaded with the main action. It does not waste words and conveys the core functionality efficiently. However, it could be slightly more structured to separate the behavior from the usage hint, but overall it is appropriately sized.

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?

Given that the tool has only two simple parameters and no output schema, the description is somewhat adequate. It states the dataset, the filtering logic, and the ordering, which covers the main functionality. However, it does not specify what fields are included in the returned rows, whether the output includes the column values, or what happens in edge cases like no matches. For a tool with no output schema, this level of detail is only partially complete.

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?

The schema description coverage is 0%, meaning the description must compensate for parameter meaning. The description says 'whose column is any of the given values' which essentially restates the schema's 'column' and 'values' parameters without adding any new meaning. It does not explain what types of values are expected, how the column name is used, or any constraints beyond the schema. The description adds no value in explaining the parameters.

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 tool returns rows from the DamageRestore HQ dataset where a given column matches any of the provided values, and preserves the order of those values. It includes a usage hint ('for X vs Y questions') that adds specificity, though it does not explicitly differentiate from sibling tools like dataset_search or dataset_row. The verb 'compare' in the name is clarified by the description, so the purpose is understandable.

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 description provides a contextual hint about when to use this tool (for 'X vs Y' questions), but it does not offer explicit guidance on when not to use it or mention alternatives among the sibling tools. There is no mention of dataset_search or dataset_row as alternatives, and no exclusion criteria. The hint implies a specific use case but lacks direct comparison with other tools.

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