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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds the ordering behavior ('in the order given'), which is beyond the schema, but it does not disclose error handling (e.g., missing values or column), output format, or whether it is read-only. For a read operation this is acceptable, but more detail would improve transparency.

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 that front-loads the core functionality and includes a usage hint at the end. It is concise with no unnecessary words or repetition, making it easy to parse quickly.

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 with no output schema or annotations, the description covers the essential behavior but leaves gaps: it does not specify what happens when no rows match, how column names are validated, or the exact format of the returned data. It is adequate for basic use but not comprehensive for edge cases.

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 is the sole source for parameter meaning. It explains 'column' as the filtering column and 'values' as the list of values to match, and explicitly notes that row order follows the order of the given values. This adds meaningful semantics beyond the raw schema types and constraints.

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 of the Vatnix dataset filtered by a column matching any of the given values, in the order provided. It conveys the core purpose and the ordering constraint, but it does not explicitly differentiate from sibling tools like dataset_row or dataset_search, though the title 'Compare rows side by side' hints at the comparison 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' implies a use case for comparing specific values side by side, but it does not explicitly state when to use this tool over alternatives or when not to use it. There is no mention of exclusions or routing to siblings, leaving the context implied rather than explicit.

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