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

With no annotations, the description carries the burden of describing behavior; it does disclose high/low ordering and the requirement for a numeric column. It does not mention tie handling, null values, the effect of limit, or what the returned rows look like, so transparency is only partial.

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 with no filler, and the core behavior is front-loaded before the illustrative phrase. Every element earns its place.

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?

There is no output schema and no annotations, so the description should fully explain what is returned, but it omits the number of rows returned, default limit behavior, and response shape. The tool is simple, but the missing return-value context makes it incomplete for an agent invoking it without prior knowledge.

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 documentation covers only 'ascending' (33% coverage), so the description must compensate. It adds meaning by explaining that the tool ranks by a numeric column and can return either highest or lowest values, but it does not clarify the 'limit' parameter aside from what the schema already states.

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 identifies the operation as selecting the highest or lowest rows of the Markupbird dataset by a numeric column, which is clear enough to distinguish from sibling tools like dataset_search or dataset_stats. It does not explicitly name siblings, but the ranking intent is unambiguous.

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 'which is the most/least X' implies when the tool should be used, giving the agent a concrete question it answers. However, it does not explicitly state when to avoid this tool or prefer alternatives such as dataset_stats or dataset_search.

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