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

No annotations exist, so the description carries the full burden. It does disclose a genuine behavioral trait — results are returned 'in the order given' — but says nothing about permissions, row limits, how many rows come back, or how the rows are presented for comparison.

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 and the resource front-loaded. The sentence is a fragment with awkward embedded quoting, which slightly hurts readability, but nothing is wasted.

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 tool with no output schema and no annotations, the description covers the filter predicate, ordering, and use case. It omits what the comparison result actually looks like and any limits on returned rows, which matters for a tool advertised as a comparison.

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 adds real meaning: matching is OR-style ('any of the given values') and ordering follows the input list. It does not clarify what form 'column' takes (name vs. identifier) or characterize the value strings, and the schema's minItems 2 / maxItems 10 limits are never mentioned.

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 (rows of the EntitySearch HQ dataset) and the filter predicate (column is any of the given values), so an agent can infer it returns a filtered row set. However, it is a noun phrase with no verb, and it clashes with the title 'Compare rows side by side' — the text describes a value filter, not a side-by-side comparison, leaving the actual operation ambiguous.

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?

It gives an explicit usage context: 'for "X vs Y" questions', which tells the agent when this tool is the right choice. It does not name alternatives such as dataset_search or dataset_row, nor any when-not conditions, so it stops short of full routing guidance.

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