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

With no annotations provided, the description carries the full burden. It does disclose the core behavior: filtering by column values with 'any of' semantics and preserving the given value order. It does not discuss case sensitivity, duplicate handling, or output shape, which are reasonable but unstated details.

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?

One sentence, zero redundency, with the resource front-loaded. The 'X vs Y' tag is valuable, non-obvious context. It could have added a sentence about output format, but as-is it is compact and easily parsed.

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 simple two-parameter select-and-compare tool, this is not grossly insufficient. But with no output schema and no annotations, the agent is left guessing about the response shape and how rows are presented. The relationship to sibling tools is only implied by the name 'compare'.

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 clarify parameters. It establishes that 'column' is the matching attribute and 'values' are the candidate matches, and it relates the values array order to the result order. It does not explain constraints like minItems=2 or exact-match assumptions, but those are partially encoded in the schema.

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 states a concrete operation: retrieve rows whose column matches any of the given values, in the order supplied. The 'X vs Y questions' phrase gives context for why it exists. It does not explicitly contrast against sibling dataset tools, but the purpose is specific and distinguishable from names like dataset_search or dataset_top.

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 'for "X vs Y" questions' tag gives an implied use case, so an agent can infer when to reach for this tool. However, it does not explicitly say when not to use it or mention alternatives among the sibling tools, leaving the routing decision to the agent's inference.

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