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johnmives

@revxl/devtools

by johnmives

yaml_convert

Convert YAML, JSON, and TOML data between formats. Specify source and target format to transform input text.

Instructions

Convert between YAML, JSON, and TOML formats [PRO - 3 free trials]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTarget format
fromYesSource format
textYesInput text to convert

Schema Changelog

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

  1. First observedv1.0.2

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does disclose a usage limitation ('PRO - 3 free trials'), but it does not describe the output shape, error behavior, or how conversion handles formatting details. This is partial disclosure with room for improvement.

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 front-loaded sentence with no filler. It states the action and target formats efficiently, and the trial limitation is appended without obscuring the core purpose.

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?

For a simple converter with a fully described schema, the description is mostly adequate. However, there is no output schema, and the description does not explicitly state what the tool returns, leaving some ambiguity about the response format. The trial note is useful but also vague about what counts as a trial.

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%, and all three parameters (text, from, to) are already described in the schema. The description adds no additional parameter-level meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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 states a specific verb ('Convert'), the exact resource domain (YAML, JSON, TOML), and clearly differentiates the tool from the formatting/query siblings like json_format and json_query. An agent can understand what this tool does immediately.

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: whenever conversion among YAML, JSON, or TOML is needed. It does not name alternatives or exclusions, but there are no close sibling conversion tools, so the usage context is reasonably clear.

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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