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

With no annotations, the description carries the full burden, and it does disclose one non-obvious behavioral trait: results come back 'in the order given' by the values list. It says nothing about what happens when a value matches no rows, whether unmatched values are omitted or represented as gaps, or any read-only/permission profile — a real gap for a side-by-side comparison tool.

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 sentence with no filler, and the key ordering detail is included rather than buried. It loses a point for being a grammatically incomplete fragment, which makes the intent slightly harder to parse than a front-loaded declarative sentence would.

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 annotations and no output schema, the definition covers the filter and ordering but leaves the return shape unspecified — the agent cannot tell whether it gets aligned rows, a comparison matrix, or just a flat row list. That is material for a tool whose whole premise is side-by-side 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, and it partially does: 'column' is framed as the filter field and 'values' is shown to control output ordering. It does not clarify that 'column' expects a column name from the dataset, nor does it mention the 2-10 value bounds or what the array items mean beyond raw match targets.

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 resource ('the rows of the VPNCompareHQ dataset') and the filter ('whose column is any of the given values'), plus the ordering behavior, so the mechanics are discernible. But it is a sentence fragment with no verb, and it never distinguishes itself from siblings like dataset_search or dataset_row, leaving the agent to infer why this is 'compare' rather than a filtered lookup.

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 use condition: 'for "X vs Y" questions', which tells the agent the scenario this tool serves. It stops short of naming alternatives or stating when not to use it, so it is clear context without exclusions.

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