json_to_yaml
Convert JSON to YAML.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Convert JSON to YAML.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
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, yet it discloses nothing beyond the name: no behavior on malformed/invalid JSON, no statement about output formatting or key ordering, and no error semantics. For a pure conversion function these gaps are small but real.
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?
A single front-loaded sentence with zero waste — appropriately sized for a trivial utility. It is terse enough that no sentence needs cutting, though it could carry one more clause of useful detail at no structural cost.
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 one-parameter, no-output-schema converter with no annotations, the description is minimally adequate: the operation and direction are unambiguous. It omits error behavior and input-format expectations, which an agent would need when handling edge cases.
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?
There is one parameter ('input') with 0% schema description coverage, so the description must compensate. 'Convert JSON to YAML' does imply that the input is a JSON string, which adds some meaning, but it gives no detail on accepted forms (object, array, scalar) or whether the input is a string vs. file path.
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?
States a specific verb and resource (convert JSON to YAML), and the direction of conversion inherently distinguishes it from the yaml_to_json sibling. It stops short of explicitly naming or contrasting that sibling, so it is clear but not maximally differentiated.
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 by the conversion direction — an agent can infer 'use this when you have JSON and need YAML' — but there is no explicit when-to-use, no prerequisites, and no mention of alternatives such as json_format or yaml_format.
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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