af3_predict_batch · AlphaFold3 MCP Server MCP: Risk & Policy

WHAT IT DOES

What af3_predict_batch does on AlphaFold3 MCP Server

AI agents invoke af3_predict_batch to trigger actions in AlphaFold3 MCP Server. 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 af3_predict_batch needs a policy

Based on the server context, this tool likely submits batch prediction jobs via Docker. This constitutes an Execute action as it triggers external computational operations. Severity is high due to potential for large-scale resource consumption in batch mode. Confidence is reduced because the tool description is empty, requiring inference from name and server context alone.

From the tool's definition Tool name 'af3_predict_batch' on a server described as enabling 'AI-powered protein structure prediction and variant analysis via Docker, with tools for submitting predictions, batch processing variants, and monitoring jobs.'

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

af3_predict_batch Rate-limited

af3_predict_batch 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": {
    "af3_predict_batch": {
      "limits": [
        {
          "counter": "af3_predict_batch_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 AlphaFold3 MCP Server, so you can run agents against it safely.

FAQ

Questions about af3_predict_batch

What does the af3_predict_batch tool do? +

af3_predict_batch. It is categorised as a Execute tool in the AlphaFold3 MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on af3_predict_batch? +

Register the AlphaFold3 MCP Server MCP server in PolicyLayer and add a rule for af3_predict_batch: 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 AlphaFold3 MCP Server. Nothing to install.

What risk level is af3_predict_batch? +

af3_predict_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit af3_predict_batch? +

Yes. Add a rate_limit block to the af3_predict_batch 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 af3_predict_batch completely? +

Set action: deny in the PolicyLayer policy for af3_predict_batch. 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 af3_predict_batch? +

af3_predict_batch is provided by the AlphaFold3 MCP Server MCP server (macromnex/alphafold3_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.