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

No annotations exist, so the description carries the full burden of behavioral disclosure. It discloses nothing: no computed behavior, return shape, input expectations, or side effects. The agent is left guessing whether this is a math evaluation, an animation utility, or something else entirely.

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?

At seven words the text is short, but this is under-specification rather than conciseness. The colon-delimited 'Label: Label' pattern adds zero information and wastes the only available space in the definition.

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?

Despite its simple schema, the tool is completely opaque to an agent. There is no input schema to lean on, no output schema, and no annotations — the description is the sole source of meaning and it provides none. This is the minimum viable definition's opposite.

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, so there is nothing for the description to clarify about arguments — the baseline for 0-param tools is 4. However, this score is purely structural; the description still fails to explain what the tool operates on, which is penalized in other dimensions.

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 'Smooth Step: Smooth Step' is a pure tautology — it restates the tool name without a verb, resource, or behavior. An agent cannot determine that this likely computes the smoothstep interpolation function, nor how it differs from the sibling x402-step-function or related interpolation tools like x402-lerp.

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 zero guidance on when to invoke this tool versus any of its thousands of siblings. No mention of use cases, mathematical context, or alternatives such as x402-step-function, x402-lerp, or x402-interpolate.

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