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x402-vector-norm

Vector Norm: Returns the Euclidean norm of a vector, rounded to three decimals 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
aNo
vNo
vectorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / properties / a / description
      Removed value: -"A to process"
    • removedInput schema / properties / v / description
      Removed value: -"V to process"
    • removedInput schema / properties / vector / description
      Removed value: -"Vector to process"
  2. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden. It does disclose one useful output trait (rounded to three decimals), but says nothing about accepted input encoding, error behavior, or the free-trial gating mechanics beyond the marketing line.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded single sentence that states the operation first. The emoji pricing line adds some noise, but it is short and does convey cost/quota information rather than pure filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and three undocumented string parameters, the description should explain input format and parameter aliasing. It does not, so an agent cannot confidently construct a call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Three parameters named 'a', 'v', and 'vector' with 0% schema description coverage and no required fields. The description implies the input is a vector but never explains the format (comma-separated string, JSON array, etc.) or why three alias parameters exist, leaving real ambiguity unresolved.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: returns the Euclidean norm of a vector, with a precision detail. It is distinguishable from relatives like x402-vector-dot or x402-normalize-vector, though it never names a sibling to steer selection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance and no mention of alternatives such as x402-normalize-vector or x402-manhattan-distance. The only extra sentence is a pricing/trial pitch, which does not help an agent decide when this tool is the right call.

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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