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x402-to-roman

To Roman: Convert to roman.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
valueNoValue to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / n
      Added value: +{
      +  "description": "N to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / value
      Added value: +{
      +  "description": "Value 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 accepted input range, no behavior for invalid or huge values, no output format. For a conversion tool with zero annotation coverage this is a complete 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 single sentence is malformed with a missing object, so brevity comes at the cost of meaning rather than from efficiency. There is no structure to front-load.

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?

With two ambiguous string parameters, no annotations, and no output schema, the description must explain input expectations and result format; it explains neither. An agent cannot reliably call this tool from the definition alone.

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 coverage is nominally 100%, but both parameter descriptions are vacuous placeholders ('N to process', 'Value to process') that do not distinguish two same-typed string parameters. The description adds nothing to resolve which of n or value is the number to convert, so the baseline 3 for covered schemas is not warranted.

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?

The description 'To Roman: Convert to roman' is a broken restatement of the tool name – the object of conversion is missing entirely between 'Convert' and 'to roman'. It hints at converting a value to Roman numerals but never names the input type (integer? string?), so it reads as a tautology of 'to-roman' rather than an articulated purpose.

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 guidance, no prerequisites, and no mention of related siblings such as x402-from-roman (the inverse) or x402-format-roman-num. The agent is left to infer everything from the tool name.

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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