AI agents invoke switch_scenario to trigger actions in MockLoop 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.
This tool triggers an operational state change on a running mock server by switching which scenario is active. It affects server behavior for subsequent requests, constituting an external operation rather than a simple read or write. It's not destructive (reversible by switching back), not financial, but does execute a behavioral change on a live server component.
From the tool's definition Switches active scenario on a server
Documented attack patterns abuse exactly the kind of access switch_scenario gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MockLoop MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for switch_scenario:
{
"version": "1",
"default": "deny",
"tools": {
"switch_scenario": {
"limits": [
{
"counter": "switch_scenario_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} switch_scenario 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.
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Switches active scenario on a server. It is categorised as a Execute tool in the MockLoop MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MockLoop MCP Server MCP server in PolicyLayer and add a rule for switch_scenario: 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 MockLoop MCP Server. Nothing to install.
switch_scenario 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 switch_scenario 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 switch_scenario. 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.
switch_scenario is provided by the MockLoop MCP Server MCP server (mockloop/mockloop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MockLoop 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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30 MockLoop MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.