AI agents call memory_delete 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.
The 'delete' action combined with 'memory' strongly indicates this tool performs irreversible deletion of stored data or Lambda memory artifacts. Destructive category is appropriate because deletion operations cannot be undone. Severity is high due to the potential blast radius—if an AI agent misuses this tool on unintended Lambda memory, critical state could be permanently lost.
From the tool's definition Tool name is 'memory_delete' which explicitly indicates deletion operation. Description is empty, but the name alone clearly suggests irreversible removal of data or state.
Documented attack patterns abuse exactly the kind of access memory_delete 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 memory_delete:
{
"version": "1",
"default": "deny",
"hide": [
"memory_delete"
]
}memory_delete disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
memory_delete. 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 memory_delete: 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.
memory_delete 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 memory_delete 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 memory_delete. 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.
memory_delete 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.