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

No annotations are provided, so the description carries the full behavioral burden. It says nothing about return format, default limit or the 50-row cap, read-only safety, ordering ties, or whether the dataset is fixed. For a tool with zero structured coverage of its behavior, this is a substantial gap.

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, front-loaded with the core action and scope. It largely restates the title's "rank rows by a numeric column" rather than adding much, but there is no wasted wording.

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?

With no output schema, no annotations, and 3 parameters at 33% coverage, the description would need to explain the return shape, default result count, and limits. It covers neither the limit behavior nor what the returned rows look like, leaving the agent under-informed for 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% (only 'ascending' is documented). The description adds one useful constraint — the column must be numeric — and conveys highest-vs-lowest via "(or lowest)", but 'limit' is undocumented in both the schema and the description, including its default and maximum of 50. It does not compensate for the coverage gap.

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 the Strength Standards Calc dataset ranked by a numeric column. The "which is the most/least X" framing makes the intent immediately clear and lets an agent distinguish it from dataset_stats or dataset_search, though it never names those siblings explicitly.

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 "which is the most/least X" phrasing implies the use case (extremal ranking queries) but gives no explicit when-to-use vs alternatives, no condition under which dataset_stats or dataset_search would be preferred, and no prerequisites. Usage is inferable rather than stated.

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