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

With no annotations, the description carries the behavioral disclosure burden. It transparently conveys the selection rule and ordering behavior, which is useful. But it does not disclose exact-match semantics, handling of missing values, duplicate values, or how results are returned, which matters for a 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?

The description is a single efficient sentence that packs the core behavior, ordering, and intended use case without wasted words. It is front-loaded with the primary action and scoping.

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 tool, the description is mostly adequate, but the lack of annotations and output schema means it should clarify more about return format and edge cases. It does not mention what happens when values are absent from the dataset or whether the output is genuinely 'side by side' as the title suggests.

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 explain the parameters. It implies both 'column' (the field to filter on) and 'values' (the values to match) and adds that results are in the order of the given values. However, it is vague about whether values must be exact strings and does not clarify the relationship between the two parameters beyond the filter concept.

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 specific action: return rows from the Dispatchzo dataset filtered to those whose column matches any of the provided values, preserving the given order. This distinguishes it from siblings like dataset_row (single row) and dataset_search (broader search), though it does not explicitly name alternatives.

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 phrase 'for "X vs Y" questions' gives a clear use case, implying comparison of specific rows. However, it does not state when to prefer this over dataset_search, dataset_row, or dataset_top, nor does it provide exclusions or alternatives.

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