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

With no annotations, the description carries the full behavioral burden, and it does disclose the non-obvious ordering behavior ('in the order given') and that it returns dataset rows. It stays silent on whether the call is read-only, what happens when a value matches nothing, and whether there is a result cap, which matters given the schema's maxItems of 10.

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?

Everything is packed into one front-loaded sentence with no filler, and the ordering constraint arrives before the use-case tag. The phrasing 'whose column is any of the given values' is slightly convoluted but not wasteful.

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 read tool with no output schema, the description covers the core contract but omits return shape details (which columns come back, one row per value or many) and the no-match/no-annotation safety profile. It is adequate to call the tool, but an agent must infer the edge cases.

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 map both parameters to meaning ('column' to filter on, 'values' as the match set), which is more than the bare schema offers. It does not explain the 2-10 value bounds, the string-only value type, or how multiple matched values order the resulting rows.

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 Med Spa Cost Checker dataset) and the selection rule (column matches any given values, order preserved), which is a real verb+resource statement rather than a restatement of the name. It distinguishes itself functionally from a plain search by emphasizing ordering and the "X vs Y" comparison use case, but it never names a sibling tool to contrast with.

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?

Usage is only implied through the trailing clause 'for "X vs Y" questions', which hints at when the tool is appropriate. There is no statement of when NOT to use it, no prerequisites, and no named alternative (e.g., dataset_search or dataset_row) for retrieving rows that are not being compared.

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