x402-normalize-vector
Normalize Vector: Normalize Vector
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No | Values to process |
Normalize Vector: Normalize Vector
| Name | Required | Description | Default |
|---|---|---|---|
| values | No | Values to process |
Changes observed during successful MCP inspections.
Input schema / properties / valuesAdded value: +{
+ "description": "Values to process",
+ "type": "string"
+}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, and it discloses nothing: it does not say whether this performs L2/unit-length normalization, min-max scaling, or z-scoring, nor what the return shape is. The single most important behavioral fact about a 'normalize vector' tool is exactly the undefined part.
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 text is only eight words and half of it duplicates the other half, so there is no wasted padding but also no content. Brevity here reflects under-specification rather than discipline.
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?
With no annotations, no output schema, and no disclosure of the normalization formula or return format, the definition is incomplete for even a single-parameter tool. An agent cannot tell what result to expect or how it differs from the many sibling normalize/standardize tools.
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 description coverage is nominally 100%, so the baseline is 3, but the schema's own text ("Values to process") is vacuous and the description adds nothing about the input format (delimited list vs. JSON array) for a parameter typed as a plain string. No meaning is added beyond the structured field.
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 the title repeated verbatim ("Normalize Vector: Normalize Vector"), which merely restates the tool name and adds no specificity. It does not distinguish this tool from close siblings such as x402-normalize, x402-normalize-array, x402-standardize, x402-standardize-array, or x402-min-max-normalize.
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 no guidance whatsoever on when to use this tool, when not to, or which alternative to pick. With near-duplicate normalization siblings in the catalog (normalize, normalize-array, min-max-normalize, standardize), the absence of routing guidance is a serious omission.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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