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

With no annotations provided, the description must carry the behavioral burden. It usefully discloses that rows follow the order of the given values and match when the column equals any value. However, it does not clarify whether all matching rows are returned or only one per value, nor does it describe matching exactness or output shape.

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 front-loads the selection semantics and ends with a concise usage hint. There is no filler or repetition of schema details.

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 gives the core selection criterion and ordering. The main gap is ambiguity around cardinality—whether all matching rows per value are returned or a single row per value—which matters for an X-vs-Y comparison workflow.

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 compensate. It effectively explains that 'column' is the dataset column to filter on and 'values' are the allowed values, and it adds the non-obvious ordering semantics: returned rows follow the order of the given values. It does not restate the minItems/maxItems constraints, but those are already 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 identifies the exact resource (rows of the Taxyearvo dataset), the filter criterion (column matches one of the given values), and the ordering behavior. Combined with the title 'Compare rows side by side', the purpose is clear, though it does not explicitly distinguish itself from 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 phrase 'for "X vs Y" questions' provides clear context for when to use this tool: comparing specific values side by side. It does not mention alternatives or exclusions, so it falls short of a 5.

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