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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals the core computation (W = Fd), which is useful, but it omits expected input units (newtons, meters), output units (joules), return format, and whether this is a pure read-only calculation. For a tool with zero annotation coverage, this is a meaningful gap.

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 compact and the formula is near the front, but it wastes space on redundancy: 'Work: Work calculation' says 'work' twice. A single structured sentence such as 'Calculates mechanical work (W = F × d)' would be tighter and leave room for units.

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 zero-parameter tool with no output schema and no annotations, the description is barely adequate. It states the formula but not the output unit (joules), how results should be interpreted, or how it relates to sibling physics calculators. An agent could invoke it but would be guessing at the response semantics.

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, so the baseline is 4. The formula in the description provides what little semantic context exists, confirming the computation uses force and distance values. There is nothing more the description could meaningfully add about parameters that do not exist.

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 states a specific verb and resource: 'Work calculation (W=Fd).' The formula pins down what the tool computes, which helps distinguish it from physics siblings like x402-force, x402-kinetic-energy, and x402-power. However, it never explicitly names or contrasts against those alternatives, so it stops short of full differentiation.

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 guidance is given about when to use this tool versus the many related physics tools (force, energy, impulse, power). The formula loosely implies usage for mechanical work problems, but there are no context cues, exclusions, or alternative references to help an agent route correctly.

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