cancel_logs_insight_query

THE RISK

Critical Risk

Why cancel_logs_insight_query needs a policy

The name suggests cancelling a running CloudWatch Logs Insights query. Cancellation is a non-reversible action (the query execution is terminated), though it doesn't delete data. Without a description, confidence is lowered. It could also be classified as Execute or Write, but cancellation of an operation is typically irreversible (can't un-cancel), placing it closer to Destructive.

From the tool's definition Tool name 'cancel_logs_insight_query' — no description provided

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

POLICY

How to control cancel_logs_insight_query

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 cancel_logs_insight_query:

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "cancel_logs_insight_query"
  ]
}

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

Create a free account and register AWS Labs CloudTrail MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RESTRICT THIS TOOL →

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EXPLORE

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Go deeper

Critical-risk tools in AWS Labs CloudTrail MCP Server → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Blast radius → How much damage one compromised or confused agent can do — and how to bound it.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about cancel_logs_insight_query

What does the cancel_logs_insight_query tool do? +

cancel_logs_insight_query. 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.

How do I enforce a policy on cancel_logs_insight_query? +

Register the AWS Labs CloudTrail MCP Server MCP server in PolicyLayer and add a rule for cancel_logs_insight_query: 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.

What risk level is cancel_logs_insight_query? +

cancel_logs_insight_query 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 cancel_logs_insight_query? +

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

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

cancel_logs_insight_query 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.

Enforce policy on every AWS Labs CloudTrail MCP Server tool call.

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.

CHECK YOUR STACK →