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XML to JSON

XMLtoJSON
Read-only

XML to JSON: XML to JSON is an XML to JSON converter API that turns raw XML strings into structured JSON objects. Send any valid XML payload to receive an organized JSON tree preserving tags, attributes, and child elements. (Cost: 1 credit)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "xml": "<xml>"
    },
    "name": "XMLtoJSON"
  }
}

Input Schema

NameRequiredDescriptionDefault
xmlYesThe XML content to convert to JSON

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds genuinely new operational context: the credit cost and a preview of the output shape (an organized JSON tree preserving tags, attributes, child elements). It does not state what happens on malformed XML, which is the main remaining behavioral gap.

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

Conciseness4/5

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

The body is front-loaded and tight: one sentence on the transformation, one on the output, plus a parenthetical cost note. The opening 'XML to JSON: XML to JSON is an XML to JSON converter API' redundantly restates the name and title and could be trimmed without loss.

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

Completeness4/5

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

For a one-parameter converter with a full output schema and safety annotations, the description covers input, output shape, and cost — enough to call it correctly. Only error/failure behavior for invalid XML is omitted, which is a modest gap for this complexity level.

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?

With a single parameter and 100% schema description coverage, the schema already fully documents 'xml'. The description's 'any valid XML payload' phrasing adds a minor constraint hint (well-formedness) but no format, encoding, or size guidance beyond the schema's own example.

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 names a specific transformation (raw XML strings into structured JSON objects) and enumerates what is preserved: tags, attributes, and child elements. It is clear what the tool does, but it does not distinguish itself from adjacent siblings such as CSVtoJSONConverter or RSStoJSON, so an agent must infer the boundary from the input format alone.

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?

The only usage cue is 'Send any valid XML payload', which says how to call it rather than when to prefer it. There is no mention of when not to use it or of alternatives for non-XML input (CSVtoJSONConverter, RSStoJSON), leaving selection entirely to inference.

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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