x402-vector-dot
Vector Dot: Vector Dot
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| v1 | No | V1 to process | |
| v2 | No | V2 to process |
Vector Dot: Vector Dot
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| v1 | No | V1 to process | |
| v2 | No | V2 to process |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no mention that this is a pure computation, no input-format expectations, no edge cases, no return behavior. The text is entirely restatement.
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, but this is under-specification rather than conciseness — the single sentence merely restates the name. Per calibration, a one-phrase tautology does not earn credit for being concise.
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, four opaque string parameters, and a tautological description, an agent cannot determine which inputs to populate, how vectors are formatted, or what result to expect. The four-parameter shape for a binary operation (a, b, v1, v2) is especially ambiguous and the description leaves it completely unresolved.
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 nominally 100%, but each parameter description ('A to process', 'B to process', etc.) is a content-free placeholder that fails to explain what the parameter represents, how a vector should be encoded as a string, or which parameters pair together (a·b vs v1·v2). The tool description adds nothing to compensate for this semantic void.
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 'Vector Dot: Vector Dot' is a pure tautology — it restates the tool name in both halves and adds zero information. It never states that this computes the dot product of two vectors, how inputs are represented, or how it differs from siblings like x402-vector-cross and x402-vector-norm.
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 at all on when to use this tool versus related mathematical siblings (x402-vector-cross, x402-vector-norm, x402-cosine-similarity). The description is not misleading, but it provides no decision support for tool selection.
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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