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

With no annotations at all, the description carries the full burden of behavioral disclosure, but it only states the basic ranking behavior. It does not mention default ordering, limit behavior, handling of ties, null values, or the shape of the returned result, leaving significant uncertainty for a tool that performs a read operation.

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 concise sentence that communicates the core operation efficiently and front-loads the ranking purpose. It is not bloated, though it could be more structured by adding ordered usage details without becoming verbose.

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?

The tool has three parameters, no output schema, and no annotations, yet the description provides only the basic ranking idea. Missing details include the default limit, whether the result includes full rows or just values, and how ascending interacts with the 'highest/lowest' wording, leaving an agent under-informed for reliable invocation.

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 only 33%, and the description adds little beyond noting that the ranking is by a 'numeric column', which clarifies the column parameter. The limit and ascending parameters are not explained in the description, and the schema only documents ascending, leaving a substantial gap for agents to call the tool correctly.

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 clearly states the tool ranks rows by a numeric column and supports both highest and lowest ordering, with the illustrative 'which is the most/least X' making intent obvious. It doesn't explicitly differentiate from siblings like dataset_search or dataset_stats, but the ranking behavior is distinct enough for an agent to infer its purpose.

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?

No guidance is given on when to prefer this tool over alternatives such as dataset_stats or dataset_search. The phrase 'highest (or lowest) rows' implies a ranking use case, but there are no explicit conditions, exclusions, or comparisons to sibling tools.

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