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

No annotations are provided, so the description carries the full burden. It discloses one behavioral trait — result ordering ("in the order given") — but says nothing about the 2-10 value cap, behavior when a value matches nothing, whether all columns are returned, or any auth/rate concerns. For a tool with zero annotation coverage this is thin.

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 compact clause with no filler, and the resource/filter is front-loaded before the use-case hint. It is slightly under-specified rather than padded, which is preferable for conciseness.

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 on two required params, the description should explain the return shape, the value/row ordering, and the 10-item ceiling. It leaves most of this to inference, so an agent cannot fully predict the result of a call.

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 convey the core relationship (rows where `column` holds any of `values`) and that ordering follows the input, which is more than the bare schema. It still omits the 2-10 item bounds and what exactly gets returned per matched value.

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 identifies the resource (Procedure Cost Checker rows) and filter mechanism (rows whose column matches any given value), and hints at the comparison use case with "X vs Y" questions. However, it is a noun-phrase fragment with no clear verb, and the link to the title "Compare rows side by side" (which implies returning paired rows) is left implicit. It only weakly differentiates from siblings like dataset_search and dataset_row.

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 for when to reach for this tool. But there is no explicit when-not guidance and no named alternative (e.g., dataset_search for broader lookups, dataset_row for a single row), so the agent must infer selection from sibling names alone.

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