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

With no annotations provided, the description bears the full burden of disclosing behavior. It states that rows are filtered by column value and that output order follows the order of the given values, which is useful. However, it does not disclose the return format, whether all columns are included, or any side-by-side presentation details promised by the title.

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?

The entire description is one sentence that front-loads the core behavior and ends with the use-case tagline. No filler or redundant restatement of the schema. It is appropriately sized for the tool's simplicity.

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 tool with two simple parameters and no output schema, the description explains what rows are selected but leaves the return representation unspecified. It does not explicitly state that the output will present rows 'side by side' as the title suggests, nor whether full rows or a subset of columns are returned. The dataset name and filter semantics are present, so it is adequate but not fully complete.

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?

The schema provides no parameter descriptions (0% coverage), but the description clearly maps both parameters: 'column' is the field to match and 'values' are the candidate values to compare. It also clarifies the match is 'any of' (OR) and that ordering follows the input list. This compensates for the schema's lack of semantic detail, though it omits constraints like valid column names or case sensitivity.

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 exact resource (EmployeeDeskHQ dataset) and the precise filter logic: rows whose column matches any of the given values, in the provided order. It is clear this is a retrieval/filter operation, though it lacks an explicit verb and does not contrast with sibling tools. The 'X vs Y' phrase hints at the intended comparison use case.

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 dash-delimited phrase 'for X vs Y questions' explicitly signals when this tool should be used: comparing rows corresponding to two or more specific values. It provides clear context but does not mention alternative tools or exclusions. The context is sufficient for an agent to select it for side-by-side comparisons.

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