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

With no annotations, the description carries the burden, and it does disclose the information it returns. It does not state that the operation is read-only or mention any side effects, retention, or caveats, but for a schema-inspection tool this is an acceptable baseline.

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 with no redundancy. The output list is front-loaded and the usage directive is concise and direct; every word contributes value.

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?

For a zero-parameter, no-output-schema tool, the description provides the essential context: what data it exposes, for which dataset, and the recommended invocation order. The only minor gap is not explaining what a 'provenance banner' is, but that is a domain term an agent can resolve from the dataset context.

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 baseline is 4. The description adds no param-specific detail because none is needed; the empty input schema is already fully self-explanatory.

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 exact resource (Weekrota dataset) and the specific outputs (columns, numeric flags, row count, provenance banner), so an agent knows precisely what the tool returns. The 'Call this first to learn the schema' cue also differentiates it from the sibling tools as the intended entry point.

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?

It gives an explicit, actionable usage instruction: call this first to learn the schema. However, it does not enumerate when not to use it or name alternatives, so it falls short of the full 'when/when-not/alternatives' bar.

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