convert_to_json
Converts TOON compressed data back into standard JSON for readability and interoperability.
Instructions
Convert TOON format back to standard JSON
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| toon_data | Yes | TOON formatted data |
Converts TOON compressed data back into standard JSON for readability and interoperability.
Convert TOON format back to standard JSON
| Name | Required | Description | Default |
|---|---|---|---|
| toon_data | Yes | TOON formatted data |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only states a conversion without disclosing any behavioral traits such as side effects, error handling, or permissions needed for a potentially destructive operation.
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, concise sentence that front-loads the essential purpose. It could be slightly more informative but is appropriately sized for a simple tool.
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 straightforward conversion tool with one parameter and no output schema, the description covers the basic purpose but lacks details on return format, error conditions, or input validation, leaving gaps for the agent.
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 schema already defines the single parameter 'toon_data' with a description. The tool description adds context about the output format but does not provide additional semantic details about the parameter beyond what is in the schema.
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 clearly states the action (convert) and the specific transformation from TOON format to standard JSON, distinguishing it from its sibling convert_to_toon which performs the reverse operation.
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?
The description implies usage when one has TOON data and wants JSON, but does not provide explicit guidance on when not to use this tool or mention alternatives like validate_toon for data validation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/muhammedehab35/JSON2TOON-MCP'
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