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

With no annotations, the description carries the full behavioral burden. It discloses one useful trait — results are returned 'in the order given' rather than sorted — but says nothing about read-only safety, result-set size, pagination, or what happens when fewer than two values are supplied (schema enforces 2-10). Too much is left unstated for a zero-annotation 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 compact sentence with the resource and query semantics front-loaded and the use case appended after an em-dash. Nothing is padded, though the sentence is fragmentary and would read slightly better with an explicit verb.

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 read tool with no annotations and no output schema, the description covers purpose and query semantics but leaves the response shape and matching rule implicit. It is minimally adequate but does not fully close the gap left by the missing structured metadata.

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 conveys that 'column' is the field to filter on and 'values' are the target values, with an implied equality/any-of match and order preservation, which is more than the bare schema gives. But it omits the 2-10 item bound and what 'any of the given values' returns when the column value is missing.

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 names the resource (rows of the Sauna Cold Plunge Compare dataset) and the operation (return rows matching a column's values, order preserved), so the agent knows it is a filtered multi-row lookup. It is a noun phrase rather than an explicit verb, but the intent and the 'X vs Y' framing make it clear enough. It hints at distinction from siblings like dataset_row (single row) without naming them.

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 trailing 'for "X vs Y" questions' clause gives implied usage context, pointing to comparison queries specifically. However, no alternatives are named (e.g., dataset_search, dataset_row, dataset_top) and there are no when-not conditions, so the agent must infer when this beats the other row-retrieval tools.

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