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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose one genuine trait beyond the schema: results follow the order of the supplied values, which matters for side-by-side comparison. It says nothing about how many rows come back, whether every row per value is returned or only the first, what a row contains, or any limits — all significant gaps for an unannotated read 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?

It is a single sentence with no filler, which is good, but it is not front-loaded with a verb and the nested clause about ordering is buried at the end, making it harder to parse than its length warrants.

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 two-parameter tool with no annotations and no output schema, the definition should at least indicate what comes back (full rows? which columns?) and the cardinality of results. Neither is covered, leaving the agent unable to predict the response shape before calling.

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 that 'column' is the field being matched and that 'values' is a set matched against that column with order affecting output ordering — meaning the schema alone would not convey. However, it omits the 2-to-10 value bounds and the minLength constraints, so compensation is only partial.

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 sentence names the resource (rows of the Structured Settlement Compare dataset) and the filter condition (column matches any of the given values), which is more specific than the title alone. But it is a noun phrase with no verb, and the phrasing 'whose column is any of the given values' is awkward enough that an agent must re-read it to confirm this is a filtered row retrieval rather than a column lookup. It does not explicitly contrast with dataset_row or dataset_search.

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 clause 'for "X vs Y" questions' gives a concrete usage context, which is a real hint about when to reach for this tool. There is no guidance on when not to use it, no prerequisites, and no named alternative for single-row or search-style lookups.

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