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yaml-ai-mcp

yaml-ai-mcp

Official
by CSOAI-ORG
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

convert_yaml_json

Convert YAML to JSON or JSON to YAML for data format interoperability. Specify direction and input to get converted output.

Instructions

Convert between YAML and JSON formats.

Args: content: Input content string direction: Conversion direction - 'yaml_to_json' or 'json_to_yaml'

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": {
      "content": "<content>"
    },
    "name": "convert_yaml_json"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyNo
contentYes
directionNoyaml_to_json

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations provided. The description only states the function without disclosing behavioral traits like error handling, data preservation (comments/order), limitations, or output details. Minimal transparency.

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?

Two sentences plus a brief argument list. Front-loaded purpose. No fluff every sentence earns its place.

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

Completeness3/5

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

Covers main purpose and two of three params. Missing explanation for api_key, output format, error handling, and limitations. Adequate but with clear gaps given no output schema or annotations.

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 0%. The description explains 'content' as input string and 'direction' as conversion direction, but omits explanation for 'api_key'. Adds some meaning but incomplete.

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 clearly states 'Convert between YAML and JSON formats' with specific directions. It distinguishes from sibling tools like lint_yaml, merge_yaml, and validate_yaml by focusing on conversion.

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

Usage Guidelines3/5

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

The description implies use when conversion is needed but does not explicitly state when not to use or mention alternatives. No exclusions or context for when to choose this over siblings.

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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