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

No annotations are present, so the description carries the burden of explaining behavior. It discloses what the tool returns, and "Call this first" implies a safe read-only operation, but it does not explicitly state side-effect-freeness, access requirements, or any limits.

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?

Two short sentences, front-loading the output contents and then the key usage instruction. Every clause earns its place with no redundancy.

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, the description enumerates the main return elements (columns, numeric flags, row count, provenance banner), which is enough for an initial schema-discovery call. It does not describe the exact structure of those elements, but the context is simple enough that this is a minor gap.

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?

There are zero parameters, so the input schema cannot create ambiguity and the baseline is 4. The description does not need to document parameter semantics because none exist.

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 names the concrete outputs — columns, numeric flags, row count, and provenance banner — for the Opexvo dataset, and adds the directive to call it first. It does not use an explicit verb or directly contrast with siblings like dataset_provenance or dataset_stats, so it stops short of 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?

"Call this first to learn the schema" gives explicit placement in an agent's workflow. It does not name alternatives or specify when not to use it, but for a zero-parameter exploratory tool the guidance is sufficient.

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