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

With no annotations, the description carries the full burden, but it only states the basic ordering behavior. It does not disclose default sort order, how the limit is applied, tie-handling, whether the column must be strictly numeric, or what the return format looks like. This is a significant gap for a read tool without an output schema.

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, front-loaded sentence with a helpful explanatory quote. There is no filler, and it communicates the core operation efficiently, though the trailing dash and quote add slight stylistic complexity without harming clarity.

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 no annotations, no output schema, and only 33% schema description coverage, the description is too minimal. It omits key operational details like the default sort order, the meaning of the limit parameter, and what kind of result is returned, making it incomplete for confident 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 coverage is only 33% (only 'ascending' has a description). The description adds meaning for the 'column' parameter by indicating it must be numeric, but it says nothing about 'limit' or its maximum value, and it does not clarify the default ordering beyond what the schema already states. It does not sufficiently compensate for the low schema coverage.

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 that the tool ranks rows of the Clientvo dataset by a numeric column and identifies the use case as 'which is the most/least X'. It is easy to distinguish from siblings like dataset_search or dataset_stats, though it does not explicitly name alternatives.

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 description implies when to use it (when you need the highest or lowest rows by a numeric column) but provides no explicit guidance on when not to use it or how it compares to sibling tools like dataset_compare or dataset_row. It is usable context but leaves exclusion criteria unstated.

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