study_solve_async · Flex Sensor Agent MCP: Risk & Policy

WHAT IT DOES

What study_solve_async does on Flex Sensor Agent

AI agents invoke study_solve_async to trigger actions in Flex Sensor Agent. 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.

WHY IT NEEDS A POLICY

Why study_solve_async needs a policy

Based on the tool name and server context, 'study_solve_async' almost certainly triggers an asynchronous solve/computation of a COMSOL study (finite element simulation). This constitutes executing an external computational operation. The severity is high because running large simulations can consume significant computational resources and trigger downstream side effects (result generation, file writes).

From the tool's definition Tool name 'study_solve_async' on a COMSOL Multiphysics simulation server; description is empty.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

study_solve_async Rate-limited

study_solve_async 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "study_solve_async": {
      "limits": [
        {
          "counter": "study_solve_async_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Flex Sensor Agent, so you can run agents against it safely.

FAQ

Questions about study_solve_async

What does the study_solve_async tool do? +

study_solve_async. It is categorised as a Execute tool in the Flex Sensor Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on study_solve_async? +

Register the Flex Sensor Agent MCP server in PolicyLayer and add a rule for study_solve_async: 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 Flex Sensor Agent. Nothing to install.

What risk level is study_solve_async? +

study_solve_async is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit study_solve_async? +

Yes. Add a rate_limit block to the study_solve_async 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.

How do I block study_solve_async completely? +

Set action: deny in the PolicyLayer policy for study_solve_async. 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.

What MCP server provides study_solve_async? +

study_solve_async is provided by the Flex Sensor Agent MCP server (tonghui666/flex-sensor-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.