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

No annotations are provided, so the description carries the full burden. It discloses the matching semantics ('any of the given values'), the ordering behavior ('in the order given'), and the dataset scope. It does not mention exact-match/case-sensitivity or return format, but the core behavior is transparent and not misleading.

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?

The description is a single tight sentence that front-loads the mechanism and appends the intended use case. There is no filler, repetition, or unnecessary detail.

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?

Given the low parameter count and clear schema constraints, the description covers the essential invocation details: which column to filter on, what values to provide, and the ordering behavior. It lacks an explicit note on exact matching or output shape, but for a simple comparison tool, this is reasonably complete.

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 explain the parameters. It effectively defines 'column' as the dataset column to filter on and 'values' as the accepted values for that column, and adds that the order of values determines the order of returned rows. It stops short of clarifying that values are cell values or that the column should exist in the dataset, but it provides substantial semantic value.

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 clearly identifies the operation: fetch rows from the Enrolvo dataset where a specified column matches any of the given values, preserving the given order. The title and the 'X vs Y' phrase make the comparison use-case evident. It does not explicitly differentiate itself from siblings like dataset_row or dataset_search, but the filtering-by-multiple-values behavior is distinct.

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 description implies use for side-by-side comparison questions ('X vs Y'), and the ordering behavior suggests this tool is meant for ordered comparison of specific values. However, it does not explicitly state when to use this tool over alternatives such as dataset_search or dataset_row, nor does it state when not to use it.

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