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

With no annotations supplied, the description carries the behavioral disclosure burden. It usefully discloses that matching is 'any of' the given values and that rows follow 'the order given,' which are material behaviors. But it leaves unspecified what the returned report looks like, how duplicates or case sensitivity are handled, and whether all matching rows are always returned.

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 packs in the resource, the filter criterion, the ordering behavior, and the intended use case. There is no filler or repetition of schema details, and the most important scoping behavior is front-loaded.

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 the description is adequate, but with no output schema and no annotations, it omits the return format and edge-case behavior. The intended use case ('X vs Y' questions) is clear, but an agent still has to infer whether 'side by side' means a special rendering or simply an ordered list of rows.

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 itself. It does: 'column' is the field whose values are matched, and 'values' are the candidate values to select rows for, with order preserved. This adds meaningful relational semantics beyond the bare string types in the schema, though it does not annotate each parameter by name.

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 identifies the resource (Reputzo dataset rows) and the selection behavior (rows whose column matches any of the given values, preserving order), and the title adds 'compare rows side by side.' However, it uses a noun phrase rather than a direct verb like 'retrieves' or 'compares,' and it does not explicitly differentiate from sibling tools like dataset_row or dataset_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 trailing phrase '— for "X vs Y" questions' gives a clear usage context, and the matching semantics are specific to comparisons across values. It does not, however, explicitly state when not to use this tool or name alternative sibling tools, so the guidance is clear but not exhaustive.

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