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

With no annotations provided, the description carries the full burden, and it does disclose a genuinely non-obvious trait: result rows come back in the order of the given values rather than the dataset's natural order or alphabetical order. It also implies read-only behavior by describing a data retrieval. However, it omits match semantics (exact equality vs substring, case sensitivity), empty-result behavior, and output shape.

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 with no filler; the core behavior (filtering and ordering) is front-loaded and the usage purpose is appended at the end. Every clause earns its place. The only slight inefficiency is the em-dash usage clause, which adds color but could arguably be merged more cleanly.

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 tool is simple — two required flat parameters, no nested objects — so the description covers the main call shape. Yet with zero annotations, zero schema descriptions, and no output schema, meaningful gaps remain for an agent: exact-match vs partial-match behavior, case sensitivity, and what happens when no rows match. The description is adequate for a straightforward retrieval tool but leans on the agent to infer several conventions.

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, and it partially does: it identifies 'column' as the filter field and 'values' as the match list, notably tying the output row order to the order of the values array — a semantic the bare schema cannot convey. But it leaves static the exact-match semantics and does not clarify how the two parameters interact beyond the filter/order relationship.

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 behavior: retrieve rows of the Csatzo dataset filtered by a column matching any of given values, preserving the values' order. This distinguishes it from siblings like dataset_top (ranking) and dataset_row (single record), and the 'X vs Y comparison' framing carves a distinct niche. However, it never explicitly names a sibling or states what it is not, and the title's 'compare' metaphor is less precise than the filtering behavior described.

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 trailing clause 'for "X vs Y" questions' gives implied usage context — use it when the goal is side-by-side comparison of a small set of specific values. But there is no explicit when-to-use vs alternatives, no exclusion criteria, and no mention of sibling tools like dataset_search for fuzzy or arbitrary queries. The guidance is suggestive rather than directive.

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