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

With no annotations, the description carries the full behavioral burden and does not meet it. It says nothing about the limit cap (max 50), tie-breaking, or the shape of the returned rows, so an agent cannot predict behavior beyond the basic ordering intent.

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?

A single compact sentence that front-loads the operation and its natural-language use case. It is appropriately sized for a simple ranking tool, though the em-dash aside is slightly informal.

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 3-parameter tool with no annotations and no output schema, the description should cover the limit cap and return shape, and it does neither. An agent could invoke it, but cannot confidently predict the number of rows or the result structure.

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 coverage is only 33% (only 'ascending' is documented), so the description must compensate. It does add value by constraining 'column' to a numeric column and restating the highest/lowest direction, but it says nothing about 'limit', leaving a required-for-correctness parameter (row count cap) entirely undocumented.

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?

States a specific verb+resource: returning the highest/lowest rows of a named dataset ordered by a numeric column, captured by the 'which is the most/least X' framing. It is clearly distinct from dataset_row and dataset_stats by implication, but never explicitly names a sibling to route against, which keeps it from a 5.

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 parenthetical 'which is the most/least X' implies the question shape this tool answers, giving implied usage guidance. However, it never states when to choose this over dataset_compare, dataset_stats, or dataset_search, and provides no exclusions or prerequisites.

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