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

With no annotations, the description carries the full burden. It does add useful behavioral context: the operation is directional (highest vs lowest), operates on a numeric column, and is scoped to the Bank Code Lookup dataset. It is silent on tie-breaking, null handling, non-numeric column errors, and what is actually returned, which are meaningful gaps for an unannotated tool.

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?

One sentence, front-loaded with the core operation and the resource before the illustrative quote. No filler, though the trailing em-dash example is slightly less economical than folding the intent into the main clause.

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 and no annotations, the description should ideally note the return shape (a small ranked set of rows) and edge behaviors. It conveys scope and direction adequately for a simple ranking tool but leaves the agent guessing about output and tie/default behavior.

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 annotated), so the description must compensate. It does clarify that the column must be numeric and ties the direction to highest/lowest, but it says nothing about 'limit' or the 1-50 bound, leaving part of the parameter surface unexplained.

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 states a specific verb (rank/return highest or lowest rows), the resource (Bank Code Lookup dataset rows), and the keying dimension (a numeric column), so an agent can grasp the operation immediately. It does not explicitly differentiate itself from close siblings like dataset_stats or dataset_row, 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 quoted framing "which is the most/least X" implies the intended use case and gives the agent a mental trigger for when to reach for this tool. However, it names no alternatives (e.g., dataset_stats for distribution, dataset_row for lookup) and states no exclusions, so usage is only implied rather than spelled out.

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