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

No annotations and no output schema, so the description carries the full behavioral burden. It does disclose that results follow the order of the given values, which is useful. But it says nothing about read-only nature, behavior when a value matches no row, result size/pagination, or the 10-value cap being a hard limit.

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 tight sentence that front-loads the returned resource and appends the use case. No filler, though the 'whose column is any of the given values' clause is slightly dense and could be more direct.

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% parameter documentation, the description should do more heavy lifting. It covers intent and ordering but omits result shape, no-match behavior, and the practical limit on values, leaving an agent with meaningful uncertainty before calling it.

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 coverage is 0%, so the description must compensate. It does explain the matching semantics (column is 'any of' the given values) and that value order is honored, which maps onto both parameters. It does not clarify whether 'column' is a name vs. index or how values are matched (exact vs. case-insensitive), leaving gaps.

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 concrete operation and resource: returns the rows of the Cookievo dataset whose column matches any of the given values, preserving the order of the values. The 'X vs Y questions' framing clarifies intent beyond the vague name 'compare'. It doesn't explicitly differentiate itself from dataset_search or dataset_row, but the retrieval semantics are clear.

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?

Gives one concrete scenario ('for "X vs Y" questions'), which implies when to reach for it. However, it never names alternatives such as dataset_search or dataset_row, and gives no when-not guidance, so an agent must infer the boundary itself.

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