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x402-volume

Volume: Convert a volume value between milliliters, liters, gallons, quarts, pints, and fluid ounces. Provide value and from/to units.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoTo to process
fromNoFrom to process
valueNoValue to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / from
      Added value: +{
      +  "description": "From to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / to
      Added value: +{
      +  "description": "To to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / value
      Added value: +{
      +  "description": "Value to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It implicitly communicates a pure, side-effect-free conversion, which is the expected behavior for this class of tool, but it says nothing about precision, rounding, or what the result looks like — gaps a mutation-free utility can still afford to close.

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

Conciseness5/5

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

Two tight sentences with zero filler: the operation and unit set are front-loaded, and the invocation hint is second. Nothing is repeated that already exists elsewhere.

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

Completeness3/5

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

With no output schema, no annotations, and placeholder parameter descriptions, the definition should have said more about accepted unit strings and the output format. The unit enumeration plus invocation hint makes it minimally usable, but an agent still has to infer the input syntax for units.

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 coverage is nominally 100%, but the schema descriptions are empty tautologies ('To to process', 'From to process', 'Value to process'), so the schema adds no real meaning. The description does clarify the roles of the three params (value plus from/to units), but never states the accepted unit token format (e.g. 'ml', 'L', 'gal'), leaving the agent to guess strings that the enum-less schema does not constrain.

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?

Names a specific verb (convert), the resource (volume value), and enumerates the supported units, so the agent knows exactly what operation this performs. It does not, however, distinguish itself from near-duplicate siblings such as x402-liters-to-gallons, x402-gallons-to-liters, x402-ml-to-cups, or the generic x402-units-convert.

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 when-to-use or when-not-to-use guidance and no named alternative, despite the sibling list containing several overlapping single-pair converters and a general units converter. The only guidance is the invocation hint 'Provide value and from/to units', which says how to call it, not when to prefer it.

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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