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

With no annotations, the description carries the full burden. It discloses a meaningful behavioral trait: output rows are ordered according to the order of the input values. It also implies a read-only IN-filter. However, it does not mention exact vs partial matching, case sensitivity, or behavior when values are missing, so coverage is adequate but incomplete.

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?

One compact sentence that front-loads the core behavior (rows ... whose column is any of the given values) and appends the use-case hint. 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?

For a simple read-only tool with two required parameters, no output schema, and no annotations, the description covers the essential points: what rows are returned, how filtering works, the ordering behavior, and the intended comparison use case. Minor gaps like exact output fields and handling of unmatched values exist, but they are not critical for selecting and invoking the tool.

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 explain the parameters, and it does. 'column' is clearly the field to filter on and 'values' are the allowed match values; 'any of the given values, in the order given' conveys both the IN semantics and ordering. The schema only provides types and bounds, so this added meaning is genuinely useful.

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 specific behavior: retrieving rows from the Limslane dataset where a column matches any of the given values, in the provided order. It also frames the use case as 'X vs Y' questions, which differentiates it from siblings like dataset_row and dataset_search. However, it lacks an explicit action verb like 'retrieves' or 'returns', so it is not a perfect 5.

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 phrase 'for "X vs Y" questions' provides a useful context signal for when to use the tool, implying side-by-side comparison of specific values. But it does not explicitly name alternative sibling tools or state when not to use it, leaving the agent to infer boundaries from sibling names like dataset_search or dataset_top.

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