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

No annotations are provided, so the description carries the full disclosure burden, yet it only mentions one behavior: result ordering follows the input order. It says nothing about permissions, whether the read is safe, the maximum result set, or the shape of the returned records.

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 efficient sentence with the resource front-loaded, and no filler. The em-dash qualifier is slightly awkward and the sentence is a touch convoluted, 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?

With no annotations, no output schema, and 0% schema coverage, the description would need to do heavy lifting. It adequately conveys the filtering/ordering semantics and implies the return set, but leaves permissions, result shape, and the values-count constraint unaddressed.

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 does clarify the semantics of both parameters ('column is any of the given values', 'in the order given'), which is meaningful. However, it omits the 2-to-10 item constraint on 'values' and gives no format examples for the column name.

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?

States a specific operation (returns rows of the Structured Settlement Compare dataset) and a specific filter (rows whose column is any of the given values), so the core resource and behavior are clear. It does not, however, explicitly differentiate itself from siblings like dataset_search or dataset_row, which also return rows.

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 closing phrase 'for "X vs Y" questions' gives an implied usage context, which is genuinely helpful routing information. But it offers no explicit when-to-use/when-not guidance and names no alternative tool (e.g., dataset_search) for other query shapes.

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