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

With no annotations and no output schema, the description carries the full burden, but it only restates the basic operation. It does not disclose input format, rounding behavior, return value shape, or edge-case handling. This is a one-liner that adds little behavioral context beyond the tool name.

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 a single concise, front-loaded sentence with no filler or repetition. 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?

The description is incomplete for an agent to call the tool correctly: there is no input schema properties, no output schema, no annotation, and no explanation of how the fraction should be supplied or what the percentage result looks like. The tool cannot actually be invoked with a fraction as currently defined.

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 input schema has zero parameters and schema coverage is 100%, which triggers the baseline of 4 for no-parameter tools. However, a fraction-to-percent conversion logically requires an input, so the absence of parameters remains a serious schema-level problem that the description does not address.

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?

States a clear transformation: 'Convert a fraction to a percentage.' The verb and resource are specific. However, it does not differentiate itself from related sibling tools like x402-ratio-to-percent, x402-percent, or x402-format-percent, which could also handle fraction/percentage conversions.

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?

No usage guidance is provided. The description does not say when to choose this tool over its many conversion siblings, nor does it mention required input formats or context. An agent would have to guess based on the name alone.

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