AI agents call CancelAHORunBatch to permanently remove resources in AWS Labs CloudTrail MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The 'Cancel' operation in the name suggests stopping an already-initiated batch process. In AWS contexts, canceling an active batch job is a destructive action—once canceled, the job cannot resume from its previous state and must be restarted, which may incur lost compute time and data. This cannot be easily undone. Severity is high because canceling batch operations can disrupt workflows and cause data loss.
From the tool's definition Tool name 'CancelAHORunBatch' indicates cancellation of an active batch run. Cancellation stops an in-progress operation irreversibly, preventing completion and potentially losing interim results.
Documented attack patterns abuse exactly the kind of access CancelAHORunBatch gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs CloudTrail MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for CancelAHORunBatch:
{
"version": "1",
"default": "deny",
"hide": [
"CancelAHORunBatch"
]
}CancelAHORunBatch 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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CancelAHORunBatch. It is categorised as a Destructive tool in the AWS Labs CloudTrail MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS Labs CloudTrail MCP Server MCP server in PolicyLayer and add a rule for CancelAHORunBatch: 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 Labs CloudTrail MCP Server. Nothing to install.
CancelAHORunBatch 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 CancelAHORunBatch 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 CancelAHORunBatch. 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.
CancelAHORunBatch is provided by the AWS Labs CloudTrail MCP Server MCP server (awslabs.cloudtrail-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs CloudTrail 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 AWS Labs CloudTrail MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.