Trigger escalation engine: auto-create findings, check SLA, escalate.
Part of the Ampel server.
Free to start. No card required.
AI agents invoke run_escalation to trigger processes or run actions in Ampel. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
run_escalation can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"run_escalation": {
"limits": [
{
"counter": "run_escalation_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Ampel policy for all 50 tools.
These attack patterns abuse exactly the kind of access run_escalation gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Trigger escalation engine: auto-create findings, check SLA, escalate.. It is categorised as a Execute tool in the Ampel MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ampel MCP server in PolicyLayer and add a rule for run_escalation: 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 Ampel. Nothing to install.
run_escalation 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 run_escalation 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 run_escalation. 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.
run_escalation is provided by the Ampel MCP server (https://tooloracle.io/ampel/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 50 Ampel tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.