Clear container at path (array or object).
AI agents call json_clear to permanently remove resources in AWS Lambda Tool MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool removes/clears data from a JSON container (array or object) at a specified path. This is a destructive operation because it irreversibly deletes or empties data without the ability to undo it through the tool itself. While the blast radius is localized to a specific JSON path (rather than entire databases), the operation cannot be reversed by the tool and represents data loss.
From the tool's definition Tool name and description: 'json_clear' - 'Clear container at path (array or object)'. The verb 'clear' indicates irreversible deletion or removal of data within a JSON structure.
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 Lambda Tool MCP Server, 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). It is categorised as a Destructive tool in the AWS Lambda Tool MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS Lambda Tool MCP Server 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 Lambda Tool MCP Server. 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 Lambda Tool MCP Server MCP server (awslabs.lambda-tool-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Lambda Tool MCP Server, 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.
805 AWS Lambda Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.