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

No annotations are provided, so the description carries the full burden of disclosure. It describes the output contents but does not explicitly state that the call is read-only, cheap, or safe, nor does it describe any operational characteristics such as caching or response shape.

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, front-loaded sentences with no redundancy. The list of what the tool returns and the call-first instruction are immediately visible and every element earns its place.

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?

Since there is no output schema, the description compensates by naming the main return components: columns, numeric flags, row count, and provenance banner. It stops short of giving exact structure or examples, but for a simple metadata tool this is nearly adequate.

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?

With zero parameters and full schema coverage, there is nothing for the description to add about parameter meaning. Baseline 4 is appropriate here.

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 exactly what the tool surfaces — columns, numeric columns, row count, and provenance banner of the Vatnix dataset — and explicitly instructs to call it first. This clearly separates it from sibling tools that retrieve rows, compute stats, or search data.

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' provides explicit usage context and timing. It does not name alternatives or state when not to use it, but the instruction is enough to guide an agent toward correct sequencing.

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