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

With no annotations, the description carries the full burden, and it does disclose one real behavioral trait: results follow the order of the given values. It does not say whether matching is exact or case-sensitive, what happens for unmatched values, whether missing rows are dropped, or that the operation is read-only. Useful but incomplete for an unannotated tool.

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 that front-loads the returned resource and appends the intended question type. No redundant text, though it is terse enough that some key semantics are left out.

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?

No output schema and no annotations exist, so the description is the only source of behavioral detail. It covers what rows come back and in what order, but says nothing about the return shape (side-by-side layout implied only by the title) or edge cases, which for a two-param tool with zero schema descriptions leaves gaps.

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 coverage is 0%, so the description must compensate. Its phrasing 'rows whose column is any of the given values' clarifies the OR-match semantics between the two params and that ordering is significant, which adds real meaning. But it omits match type (exact vs partial), case sensitivity, and says nothing about the 2–10 value bounds 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 states a concrete verb+resource: it returns rows of the Capital Gains Tax HQ dataset filtered so a given column matches any of the supplied values. That is more specific than the title's vague 'Compare rows side by side'. It doesn't explicitly name how it differs from dataset_search or dataset_row, but the 'X vs Y' framing and the ordered-values behavior make its role inferable.

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 clause 'for "X vs Y" questions' gives a clear usage scenario, which is more than nothing. However, no alternatives are named (e.g., dataset_search for fuzzy lookup, dataset_row for a single row) and no exclusions or preconditions are stated, so the agent must infer when this beats the siblings.

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