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

No annotations are provided, so the description carries the full behavioral burden. It does disclose two important behaviors: matching any of the provided values (OR semantics) and returning rows in the order of the given values. Yet it does not mention what happens when no rows match, whether matching is case-sensitive, or how the rows are presented in the comparison view.

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 with no filler. The core filtering and ordering behavior is front-loaded, and the 'X vs Y' usage cue is appended economically. Every word contributes to understanding the tool.

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 read tool, the description covers the core selection logic and is fairly complete. However, without an output schema it does not describe the return structure or layout, and it omits edge cases such as zero matches or duplicate values. Given no annotations, a bit more context would make the definition fully self-sufficient.

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%, but the description compensates by explaining the roles of both parameters: 'column' is the field to filter on and 'given values' are the values to match, with order preservation. This adds meaningful semantics beyond the bare schema types, though it does not elaborate on constraints like the minimum of two values.

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 explains what the tool does: it returns rows from the Amortlane dataset filtered by a specified column matching any of the given values, preserving the given order. The 'X vs Y' phrasing gives a distinctive use case, but there is no explicit verb like 'retrieve' or 'compare', and it does not name sibling tools, so it falls just short of a 5.

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 clear usage context: it is intended for 'X vs Y' questions, which signals when an agent should choose this tool over alternatives like dataset_search or dataset_row. However, it does not explicitly state when not to use it or how it differs from specific siblings, leaving some inference to the agent.

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