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code-alchemist01

Development Tools MCP Server

parse_xml

Parse XML data to extract structured information for development workflows, enabling code analysis and web scraping tasks.

Instructions

Parse XML data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesXML string to parse

Implementation Reference

  • The handler logic for the 'parse_xml' tool. It dynamically imports xml2js, parses the provided XML string using xml2js.Parser, and returns the parsed result or throws an error if invalid.
    case 'parse_xml': {
      const xml2js = await import('xml2js');
      const data = params.data as string;
      try {
        const parser = new xml2js.Parser();
        const result = await parser.parseStringPromise(data);
        return result;
      } catch (error) {
        throw new Error(`Invalid XML: ${error instanceof Error ? error.message : String(error)}`);
      }
    }
  • Registration of the 'parse_xml' tool in the apiDiscoveryTools array, including its name, description, and input schema.
    {
      name: 'parse_xml',
      description: 'Parse XML data',
      inputSchema: {
        type: 'object',
        properties: {
          data: {
            type: 'string',
            description: 'XML string to parse',
          },
        },
        required: ['data'],
      },
    },
  • Input schema definition for the 'parse_xml' tool, specifying the 'data' parameter as a required string.
    inputSchema: {
      type: 'object',
      properties: {
        data: {
          type: 'string',
          description: 'XML string to parse',
        },
      },
      required: ['data'],
    },
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 burden of behavioral disclosure. 'Parse XML data' doesn't reveal any behavioral traits such as error handling, output format, performance implications, or side effects. It's a minimal statement that fails to inform the agent about how the tool behaves beyond its basic function.

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 extremely concise with just three words, front-loaded and free of unnecessary details. Every word ('Parse', 'XML', 'data') contributes directly to the tool's purpose, making it efficient and easy to scan.

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?

Given the tool's complexity (parsing XML, which can involve validation, structure, etc.), no annotations, and no output schema, the description is incomplete. It doesn't explain what the parsing outputs (e.g., structured data, errors), how it handles malformed XML, or any dependencies, leaving significant gaps for the agent to operate effectively.

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?

The input schema has 100% description coverage, with the single parameter 'data' documented as 'XML string to parse'. The description adds no additional meaning beyond this, so it meets the baseline of 3 where the schema does the heavy lifting, but doesn't compensate or enhance understanding.

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

Purpose3/5

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

The description 'Parse XML data' clearly states the verb ('parse') and resource ('XML data'), but it's vague about what parsing entails (e.g., validation, transformation, extraction) and doesn't distinguish from sibling tools like 'parse_csv' or 'parse_json' beyond the data format. It meets the basic requirement but lacks specificity.

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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'parse_csv' or 'parse_json' for different data formats, or other XML-related tools if they exist, leaving the agent to infer usage based on the name alone.

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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