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

With no annotations, the description discloses meaningful behavior beyond the basic stats: grouping commas and currency are handled, and non-numeric rows are excluded and counted. This gives an agent a realistic picture of how the tool pre-processes data, though it stops short of describing edge cases like all-non-numeric columns.

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?

Everything is in one tightly worded sentence: the computed statistics are front-loaded, and the data-handling caveats follow. There is no redundant elaboration or 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?

Given this is a simple one-parameter tool with no output schema, the description covers the essential return values (the listed statistics) and key data-cleaning behaviors. It does not detail the exact response format or all-non-numeric edge cases, but for this low complexity that is a minor gap.

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 has 0% description coverage, so the description must define the 'column' parameter. The phrase 'numeric column of the Reqnix dataset' clarifies that the parameter should reference a column containing numeric values. This is sufficient for a single parameter, though it does not explicitly name the parameter.

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 lists exact outputs (count, min, max, mean, median, sum) and identifies the specific resource (a numeric column of the Reqnix dataset). This clearly distinguishes it from sibling tools like dataset_search or dataset_top by the aggregation operation.

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 title 'Summary statistics for a numeric column' implies when to use the tool, but the description gives no explicit when-not-to-use guidance or references to alternative siblings. Users must infer that this is for aggregating numeric data rather than retrieving rows or columns.

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