Convert a common YAML subset to JSON, or JSON to YAML.
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "yaml_json"
}
}| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
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. It usefully discloses that only a 'common YAML subset' is supported, but it does not explain how the conversion direction is detected, what happens with unsupported YAML features, whether comments or ordering are preserved, or what errors look like. For a bidirectional converter with zero parameters, the missing direction logic is a significant 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It states the conversion capability and the subset limitation immediately, making it easy to scan.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter converter, the description identifies the core operation and its main limitation. However, it does not explain how the request body should be supplied or how the tool determines whether to convert YAML→JSON or JSON→YAML, and there is no output schema to clarify return behavior. These are clear gaps for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4. The description does not need to explain parameter meanings, and there are no schema parameters whose semantics it could add to or obscure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Convert' and names the two resources and directions: 'YAML subset to JSON, or JSON to YAML.' It clearly distinguishes this tool from sibling JSON formatters and repair tools by being a cross-format converter, and the 'common YAML subset' caveat scopes the capability.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: an agent should use it when converting between YAML and JSON. However, the description gives no explicit when-to-use guidance, no exclusions, and no comparison to alternatives like json_format or xml_json. The bidirectional purpose makes the general use case clear, but the routing guidance is left 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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