confirm_dangerous_action
Confirm a dangerous action that requires explicit user approval
This record as markdown: /tools/mozg31337-cloudstack-mcp-server/confirm-dangerous-action.md
What confirm_dangerous_action does on CloudStack MCP Server
AI agents invoke confirm_dangerous_action to trigger actions in CloudStack MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why confirm_dangerous_action is rated High
This tool is a confirmation gate for dangerous actions in a CloudStack environment managing 735+ API methods. Confirming a dangerous action causes the underlying destructive, financial, or high-impact operation to execute. The blast radius is critical because it could unleash any category of irreversible infrastructure change — VM deletion, network teardown, storage purge, etc.
From the tool's definition 'Confirm a dangerous action that requires explicit user approval' - this tool explicitly gates destructive/dangerous operations and its execution triggers those operations to proceed
Attacks that exploit this kind of access
The rule that runs confirm_dangerous_action safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CloudStack MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For confirm_dangerous_action, this is the rule to start with:
confirm_dangerous_action stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect CloudStack MCP Server, apply this rule, and every confirm_dangerous_action call is checked against it from then on.
Questions about confirm_dangerous_action
Confirm a dangerous action that requires explicit user approval. It is categorised as a Execute tool in the CloudStack MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for confirm_dangerous_action: 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 CloudStack MCP Server. Nothing to install.
confirm_dangerous_action is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the confirm_dangerous_action 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 confirm_dangerous_action. 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.
confirm_dangerous_action is provided by the CloudStack MCP Server MCP server (mozg31337/cloudstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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