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decode_toon

Restore standard JSON from TOON format. Decode compact TOON strings for data recovery or processing.

Instructions

Convert TOON formatted text back into standard JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toonYesThe TOON formatted string to decode.
indentNoNumber of spaces for indentation.
strictNoEnforce strict validation (e.g. array lengths). Defaults to true.
expandPathsNoReconstruct dotted keys into nested objects. Defaults to 'off'.
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. The description only states the conversion outcome without detailing error handling, return format, or side effects. As a decode tool, it is likely safe, but no explicit confirmation is given.

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 sentence that is direct and to the point. Every word contributes meaning, with no unnecessary elaboration.

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

Completeness2/5

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

Given that there is no output schema and no annotations, the description should explain what the returned JSON looks like or any constraints. It fails to mention the return format, error conditions, or behavior of optional parameters, leaving gaps for the agent.

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?

The input schema covers all 4 parameters with descriptions, achieving 100% coverage. The tool description adds no additional context beyond what the schema provides, so it meets the baseline of 3.

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 the function: convert TOON formatted text into standard JSON. The verb 'Convert' and the specific resource 'TOON formatted text' make the purpose unambiguous, and the sibling 'encode_toon' implies the reverse operation, providing clear differentiation.

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 when to use (when you have TOON text and need JSON), but lacks explicit guidance on when not to use or mention of alternatives beyond the sibling. No exclusions or context hints are provided, so the usage guidance is merely implied.

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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