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

No annotations and no output schema, so the description carries the full disclosure burden. It does add one real behavioral fact — results follow the order of the given values — but omits whether matching is exact or case-sensitive, what happens when a value has no matching row, whether errors are raised, how many rows can come back, and what fields each row contains.

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?

It is short, but it is a noun-phrase fragment rather than a front-loaded statement of action, so the reader has to parse 'The rows of ... whose column ...' to reach the actual rule. The ordering note and the trailing use-case clause are worth keeping; the opening noun phrase is not efficient.

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 2-parameter, no-annotation, no-output-schema tool, an agent still needs to know the return shape, how matches are resolved, and failure behavior. None of that is present, and the comparison framing in the title is never reconciled with the filtering behavior described in the text.

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 define 'column' and 'values' itself. It only implies that 'column' is a single column name and 'values' are the values to match against; it never states that values are capped at 10 or require at least 2, nor what an unknown column does. The partial hints are not enough to compensate for an entirely undocumented 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 does name the resource ('rows of the Strength Standards Calc dataset') and the filter rule ('whose column is any of the given values'), which is more than a restatement of the name. However, the title says 'Compare rows side by side' while the text describes a filtered row lookup with no side-by-side comparison, and it never distinguishes itself from siblings such as dataset_row, dataset_search, or dataset_top. Purpose is inferable but muddied by the mismatch with the title.

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' implies the intended scenario, which is genuine usage context. But it gives no when-not guidance, no prerequisites, and does not name dataset_search or dataset_row as the alternative for single-value or textual lookups. Usage is implied rather than stated.

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