Clear container at path (array or object). Args: key: The name of the key path: The path in the JSON document Returns: Success message or error message
AI agents call json_clear to permanently remove resources in AWS — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Clearing a container (array or object) at a given path irreversibly removes all its contents. This is a destructive operation that cannot be undone — all data within the specified JSON container is wiped. The blast radius is high because an agent could clear critical JSON structures stored in the AWS environment.
From the tool's definition Clear container at path (array or object)
Documented attack patterns abuse exactly the kind of access json_clear gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for json_clear:
{
"version": "1",
"default": "deny",
"hide": [
"json_clear"
]
} json_clear disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Clear container at path (array or object). Args: key: The name of the key path: The path in the JSON document Returns: Success message or error message. It is categorised as a Destructive tool in the AWS MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS MCP server in PolicyLayer and add a rule for json_clear: 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 AWS. Nothing to install.
json_clear is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the json_clear 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.
Set action: deny in the PolicyLayer policy for json_clear. 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.
json_clear is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.