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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that multi-value membership is against a single column and that result order follows the given value order, but says nothing about return shape, whether full rows come back, or any result-size limits.

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 sentence with no filler, though it is structured as a noun phrase rather than an imperative and the most actionable cue ('for X vs Y questions') is deferred to the end rather than front-loaded.

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 output schema and no annotations, the description should say more about what comes back (full rows? matched column values? ordering of results relative to values?) and about any result limits. It covers the input contract adequately but leaves the output contract entirely to inference.

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, and it does: 'column is any of the given values' clarifies membership semantics (OR across values on one column, not pairwise matching) and 'in the order given' explains that the values array controls output ordering. It still does not mention the 2–10 item bounds, which the schema enforces silently.

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 concrete resource (rows of the Immigration Adviser Finder dataset) and the filter operation (column matches any given value), which is specific enough to distinguish it from siblings like dataset_row or dataset_search. It lacks an explicit verb and never explains the 'compare' framing beyond the 'X vs Y' hint, but the mechanism is recoverable.

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?

'for "X vs Y" questions' gives an implied usage context, but there is no explicit when-not guidance and no sibling tool is named as the alternative (e.g. dataset_row for a single record, dataset_search for free text). The agent must infer the routing itself.

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