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x402-tube-volume

Tube Volume: Volume of tube.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lengthNoLength to process
innerRadiusNoInnerRadius to process
outerRadiusNoOuterRadius to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / innerRadius
      Added value: +{
      +  "description": "InnerRadius to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / length
      Added value: +{
      +  "description": "Length to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / outerRadius
      Added value: +{
      +  "description": "OuterRadius to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.8/5.0
Behavior1/5

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, and it discloses nothing: no formula (e.g. pi * length * (outerRadius^2 - innerRadius^2)), no unit assumptions, no indication of what the return value looks like. For a tool with zero annotation and zero output-schema coverage this is a significant gap.

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

Conciseness2/5

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

It is short, but the brevity comes from under-specification rather than economy: the single fragment is a redundant restatement of the title with no load-bearing content.

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 three-parameter geometric calculator with no annotations and no output schema, the description should at least pin down the formula or the expected output and units. Nothing beyond the tool name is available to the agent.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline of 3 applies, though the schema's field text ("Length to process", "InnerRadius to process") is generic and conveys no units or semantics. The description adds nothing about how length, innerRadius, and outerRadius combine, but the structured schema already names them.

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

Purpose2/5

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

"Tube Volume: Volume of tube" is a tautology that restates the tool name rather than stating what the tool computes. It gives no formula, no scope, and does not distinguish this from close siblings such as x402-cylinder-volume or x402-torus-volume in the same geometry family.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no mention of alternatives, and no exclusions. An agent has to infer from the name alone that this is a hollow-tube (annular cylinder) volume calculation.

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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