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

With no annotations, the description carries the full burden of explaining behavior. It does explain the core logic: row selection by column matching any of the values, and ordering according to the given values. It does not mention edge cases (e.g., no matches) or confirm read-only behavior, but the explanation is sufficient for this simple filter operation.

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 with no redundant words. The title adds further clarity. It is appropriately concise for a tool of this simplicity.

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 the tool's simplicity and the absence of an output schema, the description covers the essential aspects: what data is returned and in what order. It does not describe the output format or error behavior, but for a straightforward filtering operation this is not a significant gap. The sibling list provides additional context for disambiguation.

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 successfully conveys the meaning of both parameters: 'column' is the attribute to filter on, and 'values' are the set of values to match. It does not explicitly enumerate parameter constraints, but the schema already provides those, and the descriptive sentence makes the roles clear.

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's function: it returns rows from the Threewayly dataset where a given column matches any of the provided values, preserving the given order. The title 'Compare rows side by side' reinforces the purpose, and the phrase 'for "X vs Y" questions' adds context that distinguishes it from row lookup or search.

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 gives a clear usage scenario ('for "X vs Y" questions'), which implies when to use this tool rather than a general search or single-row retrieval. However, it does not explicitly name alternatives or state when not to use it, so it falls short of fully explicit guidance.

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