Resolve which file simulateSchematicFile will execute and explain sidecar requirements.
AI agents call resolveSchematicSimulationTarget to retrieve information from Ltspice without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read/query operation: it resolves (determines) which file would be used for simulation and explains requirements. It does not actually run a simulation, modify files, or have side effects. This is purely informational.
From the tool's definition 'Resolve which file simulateSchematicFile will execute and explain sidecar requirements' — this is a resolution/lookup operation that determines targets and explains requirements without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access resolveSchematicSimulationTarget 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 resolveSchematicSimulationTarget:
{
"version": "1",
"default": "deny",
"tools": {
"resolveSchematicSimulationTarget": {}
}
}resolveSchematicSimulationTarget is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Resolve which file simulateSchematicFile will execute and explain sidecar requirements. It is categorised as a Read tool in the Ltspice MCP Server, which means it retrieves data without modifying state.
Register the Ltspice MCP server in PolicyLayer and add a rule for resolveSchematicSimulationTarget: 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.
resolveSchematicSimulationTarget is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the resolveSchematicSimulationTarget 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 resolveSchematicSimulationTarget. 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.
resolveSchematicSimulationTarget 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.