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

With no annotations provided, the description carries the full behavioral burden. It clearly discloses the key behavior: rows are matched by 'any of the given values' and returned 'in the order given.' This adds meaningful semantics beyond the raw schema, though it does not mention edge cases such as no matches, duplicate values, or output formatting.

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, well-structured sentence that front-loads the core behavior and ends with a clear usage cue. Every part earns its place, with no redundant or filler wording.

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 tool with no output schema, the description conveys the essential selection and ordering semantics. It is complete enough for an agent to invoke the tool correctly, though it could optionally mention what happens when no rows match or whether the full row is returned.

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 explain the parameters. It does: 'column' selects the column to match against, and 'values' are the list of values to match, with the output order tied to the order of the values. This is sufficient semantic clarity for both required parameters, although it omits explicit mention of the schema's min/max array 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 exactly what the tool does: it returns rows from the Defectbird dataset matching any of the provided column values, in the given order. This distinguishes it from siblings like dataset_row (likely single-row lookup) and dataset_search (likely free-text search) by specifying a value-list comparison with order preservation.

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' implies the intended use case, but the description does not explicitly state when to use this tool versus alternatives like dataset_row or dataset_search, nor does it mention exclusions or conditions. Usage guidance is present but only implied, not explicit.

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