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x402-teaspoons-to-ml

Teaspoons To Ml: Convert teaspoons to ml. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
valueNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / value / description
      Removed value: -"Value to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / value
      Added value: +{
      +  "description": "Value to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It adds a useful commercial detail (5 free trial calls per signed wallet), but says nothing about output format, rounding/precision, error behavior, or that the input must be a string rather than a number.

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

Conciseness3/5

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

It is short and front-loaded, but the leading 'Teaspoons To Ml:' label merely restates the tool name, and the emoji trial-call line is promotional rather than functional. Nothing is confusing, but the redundant prefix dilutes efficiency.

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 simple converter this is close to adequate, but with no annotations, no output schema, and an undocumented string parameter, an agent still cannot tell what to pass or what comes back. A single sentence on input format and output units would close the gap.

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?

The single parameter 'value' has zero schema description coverage, and the description never explains what it accepts — notably that it is typed as a string, so quoting/format expectations are unstated. With under 50% coverage the description needed to compensate and does not.

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 states a concrete verb and resource: 'Convert teaspoons to ml', which is unambiguous about the operation and direction of conversion. It doesn't distinguish itself from near-identical siblings like x402-tablespoons-to-ml, x402-ml-to-cups, or x402-units-convert, but the name plus description make the function clear.

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 explicit when-to-use or when-not-to-use guidance and no mention of alternatives such as the generic units-convert tool. Usage is only implied by the conversion statement itself.

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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