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

With no annotations, the description carries the full behavioral burden, yet it only discloses one trait: result order mirrors the input value order. It says nothing about read-only semantics, what happens to values with no matching rows, how the rows are combined into a comparison view, or any limits (the 2–10 value cap lives only in the schema).

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 tight sentence with no filler, and the ordering behavior that defines the comparison is placed before the audience hint. The phrasing is slightly stilted ('The rows of the ... dataset whose column is any of ...') but nothing is wasted.

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 filter tool this covers purpose, filter semantics, and ordering, which is close to adequate. But with no output schema and no annotations, the description should have said what comes back (row objects with all columns? just the compared column?) and whether unmatched values are silently dropped.

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 carry the parameters, and it does explain the core semantics of both: 'column' selects the column and 'values' is the set to match against. However, it omits constraints the agent would otherwise miss (2–10 values, min length, no additional properties) and does not clarify matching precision (exact vs partial) or case sensitivity.

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 Taxooor dataset), the filter mechanism (column matching any of the given values), and the intent (side-by-side 'X vs Y' comparison via output ordering). It is a noun-phrase rather than a verb phrase, and it never names the closest siblings (dataset_row, dataset_search) to distinguish itself, but the operation is unambiguous.

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?

It explicitly scopes the tool to "X vs Y" questions, which is a concrete when-to-use trigger an agent can match against a user request. It stops short of stating when NOT to use it or pointing to dataset_search/dataset_row as the alternatives for non-comparative lookups.

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