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

With no annotations, the description must carry behavioral disclosure. It does reveal the workflow nature, expected output components, and a pay-per-use cost signal. However, it does not explain output format, whether the tool is interactive, or what happens after the goal is submitted.

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 very compact and front-loaded, with the core purpose stated first. The B2B/CRO and pricing fragments add context without padding, though the fragment style is somewhat telegraphic.

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 simple one-parameter tool, the description covers input, purpose, expected output components, and cost. But with no output schema and no annotations, more detail about the delivered design format would make the tool safer and easier to invoke correctly.

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's only parameter description is the generic 'service input', so the description's 'input=goal' adds a useful semantic pointer. Still, it is minimal and does not specify how detailed or structured the goal should be.

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 identifies the tool's verb and resource: designing rigorous A/B tests with hypothesis, variants, and success criteria. It is specific enough to distinguish it from the broad sibling list, though it does not explicitly name an alternative tool.

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 explicit guidance on when to use this tool versus alternatives like custom-workflow-design or research tools. The line 'B2B: CRO teams run clean experiments' gives audience context but no actionable selection criteria or exclusions.

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