unflatten_json

Reconstruct nested JSON from dot-notation flattened format.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/unflatten-json.md

WHAT IT DOES

What unflatten_json does on GadgetHumans API Hub

AI agents call unflatten_json to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why unflatten_json is rated Low

Even though unflatten_json only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs unflatten_json safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For unflatten_json, this is the rule to start with:

unflatten_json Allowed

unflatten_json is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "unflatten_json": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every unflatten_json call is checked against it from then on.

FAQ

Questions about unflatten_json

What does the unflatten_json tool do? +

Reconstruct nested JSON from dot-notation flattened format. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on unflatten_json? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for unflatten_json: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GadgetHumans API Hub. Nothing to install.

What risk level is unflatten_json? +

unflatten_json is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit unflatten_json? +

Yes. Add a rate_limit block to the unflatten_json rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block unflatten_json completely? +

Set action: deny in the PolicyLayer policy for unflatten_json. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides unflatten_json? +

unflatten_json is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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