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

No annotations are provided, so the description carries the behavioral burden. It usefully states that rows are filtered by 'any' matching value and preserve the given order. However, it does not disclose whether matching is exact or case-sensitive, how the rows are formatted or presented, or what happens when no rows match.

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 compact sentence conveys the core behavior and intended use case without repetition or filler. The essential matching and ordering semantics are front-loaded, and the 'X vs Y' tag adds relevant context in a few words.

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 operation, the description plus title gives a decent overall picture: matched rows, ordering, and comparison purpose. However, with no annotations and no output schema, it leaves edge cases, output layout, and sibling-tool routing unspecified, so it is adequate but not fully 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 has 0% description coverage, so the description must explain the parameters. It effectively maps 'column' to the matching field and 'values' to the candidate values, and adds important ordering semantics. It doesn't mention min/max constraints, but those are already present in the schema.

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 specifies that the tool returns rows from the Clauselane dataset whose column matches any of the given values, in the order of those values. This is more concrete than the title and suggests a comparison use case, though it does not explicitly distinguish itself from the sibling tools.

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' gives an implied usage context—comparing rows by specific values—but there is no explicit guidance on when to choose this tool over dataset_row, dataset_search, or dataset_top, or when it should not be used.

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