Get local HFSS modeling knowledge base status and coverage
AI agents call hfss_get_modeling_knowledge_status to retrieve information from HFSS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves status information about an internal modeling knowledge base. The verb 'Get' and the passive nature of reading status/coverage metrics indicate no data modification, deletion, or external execution occurs. Blast radius is minimal—misuse would only expose benign diagnostic information.
From the tool's definition Tool name contains 'get_' and description explicitly states 'Get local HFSS modeling knowledge base status and coverage' — a pure query operation with no side effects.
Documented attack patterns abuse exactly the kind of access hfss_get_modeling_knowledge_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and HFSS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for hfss_get_modeling_knowledge_status:
{
"version": "1",
"default": "deny",
"tools": {
"hfss_get_modeling_knowledge_status": {}
}
} hfss_get_modeling_knowledge_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get local HFSS modeling knowledge base status and coverage. It is categorised as a Read tool in the HFSS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the HFSS MCP Server MCP server in PolicyLayer and add a rule for hfss_get_modeling_knowledge_status: 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 HFSS MCP Server. Nothing to install.
hfss_get_modeling_knowledge_status 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 hfss_get_modeling_knowledge_status 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 hfss_get_modeling_knowledge_status. 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.
hfss_get_modeling_knowledge_status is provided by the HFSS MCP Server MCP server (leonardwy/hfss_mcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from HFSS MCP Server, 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.
28 HFSS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.