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unflatten_json

Transform flat JSON with dot-notation keys into nested objects. Restore hierarchical data structures for easier parsing and readability.

Instructions

unflatten json — JSON & Data tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior1/5

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

No annotations are provided, so the description must disclose behavior, but it only states what the tool does in name and its price. There is no mention of input format, edge cases, error behavior, or whether the operation is reversible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, which is concise, but only the cost and a restatement of the tool name are included. It is under-specified rather than usefully concise, failing to provide actionable content.

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

Completeness1/5

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

With no output schema, no real parameter semantics, and no behavioral details, the description is grossly incomplete for a JSON transformation tool. An agent cannot safely invoke it without guessing at the expected input structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has a single generic 'params' object with no real parameter definitions, and the description adds no parameter information. Even though schema coverage is formally 100%, the schema itself is semantically empty, so the description fails to compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The name 'unflatten_json' and description 'unflatten json' clearly identify the operation, and the sibling 'flatten_json' provides contrast. However, the description does not explain what unflattening entails (e.g., converting a flat key-value structure back into nested objects/arrays), so an agent might not understand the exact transformation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool instead of other JSON tools like flatten_json, process_json, or merge_json. The description only mentions the cost, which does not help with tool selection.

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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