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

No annotations are provided, so the description carries the full behavioral burden, but it says nothing about the normalization algorithm, idempotency, edge cases (e.g., zero variance), or output format. The only hint is the parameter named "values" of type string, which is odd for an array operation.

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 two identical fragments separated by a colon, conveying no information beyond the name. It is technically short but fails to be concise in the sense of informative density.

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 tool whose behavior depends entirely on which normalization method it uses, and given the dense family of sibling normalization tools, the description is completely inadequate. No algorithm, no input/output semantics, no disambiguation from siblings.

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?

Schema coverage is 100%, so the schema documents the single parameter. However, the parameter type is string while the tool operates on "Array," creating ambiguity that the description does not resolve. Baseline 3 applies since the schema is fully described.

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 is a tautology: "Normalize Array: Normalize Array." It restates the tool name without specifying what normalization means (min-max scaling, unit vector, z-score) or what output format results. With dozens of sibling tools like x402-normalize, x402-normalize-vector, x402-standardize-array, x402-min-max-normalize, and x402-zscore-array, an agent cannot distinguish this tool's purpose. That said, at least the verb+resource is parseable, so it's not completely missing.

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 on when to use this versus the many sibling normalization tools. The agent is left to guess whether this performs min-max, z-score, or unit-vector normalization.

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