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 terminates an in-progress operation, which is typically irreversible (the query results are lost). However, with an empty description, confidence is low. Severity is medium since misuse would abort a running query but not delete underlying data.

From the tool's definition Tool name: cancel_logs_insight_query — the word 'cancel' implies stopping/terminating an ongoing operation. Description is empty, providing no additional context.

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 Amazon Q Business anonymous mode 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 Amazon Q Business anonymous mode 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 →

Free to start. No card required.

EXPLORE

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All 805 AWS Labs Amazon Q Business anonymous mode MCP Server tools →

Destructive tools on other servers

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Go deeper

Critical-risk tools in AWS Labs Amazon Q Business anonymous mode 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 Amazon Q Business anonymous mode 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 Amazon Q Business anonymous mode 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 Amazon Q Business anonymous mode 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 Amazon Q Business anonymous mode MCP Server MCP server (awslabs.amazon-qbusiness-anonymous-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 Amazon Q Business anonymous mode MCP Server tool call.

Start from AWS Labs Amazon Q Business anonymous mode 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 →