Run a daemon/system health check and return actionable recommendations.
AI agents invoke daemonDoctor to trigger actions in Ltspice. 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.
The tool actively 'runs' a health check against daemon/system processes, which constitutes executing an operation against the system. It returns recommendations, implying it inspects live system state and may interact with daemon processes. This goes beyond passive read as it actively probes system/daemon health.
From the tool's definition Run a daemon/system health check and return actionable recommendations
Documented attack patterns abuse exactly the kind of access daemonDoctor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ltspice, and nothing reaches the server without passing your rules. This is the rule we recommend for daemonDoctor:
{
"version": "1",
"default": "deny",
"tools": {
"daemonDoctor": {
"limits": [
{
"counter": "daemondoctor_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}daemonDoctor 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.
Free to start. No card required.
Run a daemon/system health check and return actionable recommendations. It is categorised as a Execute tool in the Ltspice MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ltspice MCP server in PolicyLayer and add a rule for daemonDoctor: 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 Ltspice. Nothing to install.
daemonDoctor 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 daemonDoctor 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 daemonDoctor. 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.
daemonDoctor is provided by the Ltspice MCP server (xuio/ltspice-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ltspice, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
71 Ltspice tools catalogued and risk-classified — across an index of 43,000+ MCP servers.