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

With no annotations available, the description carries the behavioral disclosure burden. It does disclose the key selection and ordering behavior, but it does not explicitly state that this is a read-only operation, whether matching is exact/case-sensitive, or what the returned rows look like beyond the ordering.

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 front-loads the core behavior and then adds the targeted use case. Every part contributes meaning, and there is no redundant filler.

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 read tool with no output schema, the description is largely complete: it names the dataset, defines filtering and ordering behavior, and gives the intended comparison use case. It falls just short of describing the exact output presentation, though the title helps with that.

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 usefully explains that 'column' is the dataset column to match against and that 'values' controls both the match set and the output row order, giving real semantic meaning beyond the raw 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 specific action and resource: it returns rows of the Offdayly dataset where a column matches any of the provided values, in a specified order. This clearly distinguishes it from siblings like dataset_row (a single row), dataset_search, or dataset_stats.

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 description gives a clear usage context: it is meant for 'X vs Y' questions, where you want selected rows side by side in a given order. It does not explicitly name alternatives or state when not to use it, but the intended scenario is clear enough.

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