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

No annotations are provided, so the description carries the full burden. It discloses the ordering behavior ('in the order given') and the filtering logic, but omits whether the operation is read-only, what happens if no rows match, or the structure of the returned rows. This is a moderate gap for a tool with no annotation support.

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, concise sentence that front-loads the core behavior and ends with the use-case hint. No extraneous words; every element serves a purpose.

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 2-parameter tool with no output schema and no annotations, the description gives the essential logic but omits details like the return format, error behavior (e.g., invalid column), and edge cases (no matches). An agent can infer basic usage but lacks full expectations for the result.

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?

With 0% schema description coverage, the description compensates by explaining that 'column' is the field to match and 'values' are the list of matching values. It clarifies the relationship between the parameters, though it doesn't detail constraints like string types or the max of 10 values, which are 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 clearly states the tool returns rows from the Nofovo dataset filtered by a column matching any of the given values, preserving the given order. This distinguishes it from siblings like dataset_row (likely a single row) and dataset_search (broader search), and aligns with the title's 'Compare rows side by side' intent.

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' provides clear context for when this tool is appropriate, implying comparison of specific entities. It doesn't explicitly name alternatives or exclusions, but the purpose is specific enough for an agent to infer when to choose it over other dataset tools.

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