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 does not mention input representation, output format, edge cases, or error behavior. It only restates the mathematical concept.

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 definition is short and front-loaded, but it borders on tautology by beginning with the tool's own name. It is not wasteful, yet it earns little beyond the minimum.

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?

A distance calculation normally requires a definition of how points are supplied, yet the schema is empty and the description offers no contract. There is no example, no output description, and no clarification of dimensionality or vector format. This is inadequate for correct invocation.

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 properties, so the 0-parameter baseline applies and the description has no parameter-level burden to satisfy. However, the description will not help a caller figure out how points should be expressed, which is a broader contextual gap.

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 clearly identifies the operation: computing Chebyshev distance between points. This distinguishes it from nearby siblings such as x402-manhattan-distance and x402-chebyshev (likely polynomials). It lacks an explicit verb, but the intent is unambiguous.

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 on when to use this tool versus alternatives like x402-manhattan-distance or x402-distance. There is no mention of coordinate formats, dimensionality, or any selection criteria. The agent must infer everything from the name.

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