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

No annotations are provided, so the description carries the burden, and it does disclose what the call returns (columns, numeric flags, row count, provenance banner), effectively signaling a safe read-only introspection. It doesn't state that there are no inputs or side effects, but for a zero-arg listing tool the disclosed return contents are the main behavioral fact an agent needs.

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 tight sentences with the resource and returned fields front-loaded and the usage cue placed last. No filler; only a slightly loose phrase ('the provenance banner') costs it the top mark.

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 parameters, no output schema, and a simple read-only shape, the description supplies enough for correct invocation by enumerating the returned fields. It lacks any note on return format or ordering, but for a zero-arg describe tool this is largely complete.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. The schema is empty and there is nothing further to document.

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 a specific resource (the Excurvo dataset) and enumerates exactly what the tool surfaces: column names, which are numeric, row count, and provenance banner. It reads more like an inventory/describe operation than its siblings, though the 'provenance banner' overlaps conceptually with the sibling dataset_provenance, which it does not explicitly distinguish itself from.

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' is explicit ordering guidance that tells the agent when to reach for this tool. It stops short of naming alternatives or exclusion conditions, so it is clear context without full when-not routing.

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