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

With no annotations and a tautological description, the description carries the full burden of behavioral disclosure and fails entirely. It does not mention inputs, computation, edge cases, return format, or side effects. This is a complete absence of behavioral information.

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?

While trivially short, this is under-specification rather than conciseness. The repetition of the tool name adds zero information and fails to earn its place. It provides no structure, no examples, and no operational details.

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?

Even though the tool takes no parameters and has no output schema, the description is completely inadequate. An agent cannot determine what 'relative risk' means here, what the output represents, or how it differs from dozens of other statistical tools in the sibling list.

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 schema has zero parameters and 100% schema description coverage (vacuously). With no parameters to document, the description is not required to explain parameter semantics, so the baseline 4 applies. However, this is only because the tool takes no inputs, not because the description adds value.

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 is a pure tautology: 'Relative Risk: Relative Risk' restates the tool name without any verb, resource, or functionality. It provides no actionable information about what the tool computes or returns, and the massive sibling list makes it impossible to distinguish from other statistical tools without additional context.

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?

There is no guidance on when to use this tool versus alternatives such as odds-ratio, cohens-d, r-squared, or other statistical functions. The empty schema and absent description leave the agent with zero context for selection.

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