benchmark_gpu_performance · Auto Video Generator MCP

WHAT IT DOES

What benchmark_gpu_performance does on Auto Video Generator

AI agents invoke benchmark_gpu_performance to trigger actions in Auto Video Generator. 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 benchmark_gpu_performance needs a policy

Benchmarking triggers external GPU operations and measurement routines whose effects are temporary and depend on system state rather than data modification. This is an Execute category tool because it runs code/operations (GPU benchmark suite), but severity is low because benchmarks produce only informational output with no destructive or persistent side effects, and the blast radius of misuse is minimal.

From the tool's definition Tool name 'benchmark_gpu_performance' and description 'GPU性能基准测试' (GPU performance benchmark test) indicate execution of a benchmarking operation that runs performance tests on GPU hardware.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

benchmark_gpu_performance Rate-limited

benchmark_gpu_performance 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": {
    "benchmark_gpu_performance": {
      "limits": [
        {
          "counter": "benchmark_gpu_performance_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 Auto Video Generator, so you can run agents against it safely.

FAQ

Questions about benchmark_gpu_performance

What does the benchmark_gpu_performance tool do? +

GPU性能基准测试. It is categorised as a Execute tool in the Auto Video Generator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on benchmark_gpu_performance? +

Register the Auto Video Generator MCP server in PolicyLayer and add a rule for benchmark_gpu_performance: 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 Auto Video Generator. Nothing to install.

What risk level is benchmark_gpu_performance? +

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

Can I rate-limit benchmark_gpu_performance? +

Yes. Add a rate_limit block to the benchmark_gpu_performance 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 benchmark_gpu_performance completely? +

Set action: deny in the PolicyLayer policy for benchmark_gpu_performance. 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 benchmark_gpu_performance? +

benchmark_gpu_performance is provided by the Auto Video Generator MCP server (zgmurder/auto_video_generator-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.