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x402-vector-dot

Vector Dot: Returns the dot product of two equal-length numeric vectors 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
aNo
bNo
v1No
v2No

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / a / description
      Removed value: -"A to process"
    • removedInput schema / properties / b / description
      Removed value: -"B to process"
    • removedInput schema / properties / v1 / description
      Removed value: -"V1 to process"
    • removedInput schema / properties / v2 / description
      Removed value: -"V2 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 are provided, so the description carries the full behavioral burden. It discloses one useful fact — a trial limit of 5 free calls per signed wallet — but says nothing about how vectors must be encoded, what happens on unequal-length inputs, error behavior, or the shape of the returned value.

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?

The core purpose is front-loaded in a single compact sentence, with the pricing note following. Nothing is padded, though the pricing sentence competes with the actual functional description for attention.

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, 0% parameter coverage, and an ambiguous four-parameter schema, the description is too thin. It should at least clarify the input encoding and how the duplicate parameter pairs relate, since nothing else in the definition does.

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?

Schema description coverage is 0% and the description only says 'two equal-length numeric vectors' while the schema exposes four string parameters (a, b, v1, v2). The agent gets no guidance on which pair to populate, whether both pairs are alternatives, or the expected string format for vector values.

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?

The description gives a specific verb and resource ('Returns the dot product of two equal-length numeric vectors'), so an agent knows exactly what computation is performed. It does not, however, distinguish this from close siblings such as x402-vector-cross, x402-vector-norm, or x402-cosine-similarity, leaving the agent to infer the boundary from the name alone.

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?

There is no statement of when to choose this tool over alternatives like cosine-similarity or vector-cross, and no prerequisites beyond the equal-length constraint. The only extra sentence concerns free trial pricing, which is not usage guidance.

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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