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json_to_xml

Convert a JSON object or array to XML string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesJSON data to convert to XML
rootNameNoRoot element name (default: root)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It does state input scope ('object or array') and output type ('XML string'), which are useful behavioral details. However, it omits information about error handling (e.g., invalid JSON), formatting specifics, or side effects. This is adequate but not rich.

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?

The description is a single sentence of 10 words, front-loaded with the action and concise. Every word is meaningful, and there is no superfluous information.

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 simple conversion tool with complete parameter schema, the description adequately conveys input and output types. It doesn't explain return values in detail, but 'XML string' explicitly names the output. Minor omission: no mention of error cases, but overall it is sufficiently complete for the task.

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%: both 'data' and 'rootName' have descriptions, with rootName noting a default. The description itself adds no parameter-level detail beyond what the schema already provides, so the baseline of 3 applies.

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

Purpose5/5

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

The description 'Convert a JSON object or array to XML string' uses a specific verb ('convert'), specifies the input resource ('JSON object or array'), and names the output format ('XML string'). This clearly distinguishes it from sibling tools like json_to_csv or csv_to_json, which target different formats.

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

Usage Guidelines4/5

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

The description clearly implies when to use this tool: when you have JSON data and need XML output. While it doesn't explicitly mention alternatives or exclusions, the purpose context is obvious given the sibling tools, and no additional guidance is necessary for this straightforward conversion task.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: conversions between formats (CSV, JSON, XML) are separate from data operations (filter, pick, sort, stats) and structural utilities (flatten, unflatten, validate). No two tools overlap in function.

Naming Consistency3/5

The conversion tools follow a consistent 'from_to' pattern (csv_to_json, json_to_csv, json_to_xml), but the operation tools use bare verbs (filter, pick, sort) or nouns (stats), and flatten/unflatten use a different style. The mix is readable but not uniform.

Tool Count5/5

With exactly 10 tools, the server covers the core data transformation needs without bloat. Each tool serves a clear purpose and the count is well within the typical ideal range of 3-15.

Completeness4/5

The toolkit covers common conversion and data manipulation tasks well. A minor gap is the lack of an XML-to-JSON converter, but conversions can be chained through JSON, and the basic transformation lifecycle is complete.