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

With no annotations provided, the description carries the behavioral disclosure burden. It does explain what information is returned and implies a read-only metadata operation, but it does not confirm side-effect-free behavior, output structure, or any edge cases. This is acceptable but not fully transparent.

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?

The description is two short sentences with no filler. The output contents are listed first, and the actionable guidance 'Call this first to learn the schema' is front-loaded and memorable. Every word 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?

For a zero-parameter, low-complexity introspection tool, the description covers the key information an agent needs: what the tool returns and when to call it. The lack of an output schema means more exact return-format details are not specified, but the description is sufficient for correct initial selection and invocation.

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 has zero parameters, so there is nothing for the description to clarify about arguments. The schema is an empty object with 100% coverage, and the baseline of 4 applies because no parameter documentation is needed.

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 (Capanix dataset) and enumerates the exact output content: columns, numeric flags, row count, and provenance banner. It also tells the agent to 'Call this first to learn the schema,' which clearly distinguishes it from siblings like dataset_row or dataset_search.

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 description gives explicit usage guidance: 'Call this first to learn the schema.' This tells the agent when to use the tool, though it does not explicitly name alternatives or state when not to use it. Still, the sequencing advice is clear and actionable.

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