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memory_batch_delete_records

memory_batch_delete_records

How to control memory_batch_delete_records ↓

What memory_batch_delete_records does on Amazon EKS MCP Server

AI agents call memory_batch_delete_records to permanently remove resources in Amazon EKS MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

Why memory_batch_delete_records needs a policy

The verb 'delete' in combination with 'batch' indicates this tool irreversibly removes data at scale. Even without a description, deletion is inherently destructive and cannot be undone. In an EKS context, batch deletion of records could affect cluster metadata, logs, or configurations. This is categorized as Destructive rather than Write because the operation is irreversible.

From the tool's definition Tool name 'memory_batch_delete_records' contains 'delete' and 'batch', indicating irreversible deletion of multiple records. The empty description prevents full certainty but the naming is unambiguous.

Documented attack patterns abuse exactly the kind of access memory_batch_delete_records gives an agent:

How to control memory_batch_delete_records

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon EKS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_batch_delete_records:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "memory_batch_delete_records"
  ]
}

memory_batch_delete_records disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Amazon EKS MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about memory_batch_delete_records

What does the memory_batch_delete_records tool do? +

memory_batch_delete_records. It is categorised as a Destructive tool in the Amazon EKS MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on memory_batch_delete_records? +

Register the Amazon EKS MCP Server MCP server in PolicyLayer and add a rule for memory_batch_delete_records: 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 Amazon EKS MCP Server. Nothing to install.

What risk level is memory_batch_delete_records? +

memory_batch_delete_records is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit memory_batch_delete_records? +

Yes. Add a rate_limit block to the memory_batch_delete_records 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 memory_batch_delete_records completely? +

Set action: deny in the PolicyLayer policy for memory_batch_delete_records. 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 memory_batch_delete_records? +

memory_batch_delete_records is provided by the Amazon EKS MCP Server MCP server (awslabs.eks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon EKS MCP Server tool call.

Start from Amazon EKS MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 Amazon EKS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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