af3_predict_structure · AlphaFold3 MCP Server MCP

WHAT IT DOES

What af3_predict_structure does on AlphaFold3 MCP Server

AI agents invoke af3_predict_structure 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_structure needs a policy

Based on the server context, this tool likely submits a protein structure prediction job via Docker, which constitutes executing an external computational process. The empty description lowers confidence, but the sibling tools (af3_predict_batch, af3_predict_structure_from_seq) confirm this pattern. Severity is high due to potential resource consumption from spawning Docker-based ML workloads.

From the tool's definition Tool name 'af3_predict_structure' on a server described as running 'AI-powered protein structure prediction via Docker'; description is empty.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

af3_predict_structure Rate-limited

af3_predict_structure 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_structure": {
      "limits": [
        {
          "counter": "af3_predict_structure_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_structure

What does the af3_predict_structure tool do? +

af3_predict_structure. 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_structure? +

Register the AlphaFold3 MCP Server MCP server in PolicyLayer and add a rule for af3_predict_structure: 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_structure? +

af3_predict_structure is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit af3_predict_structure? +

Yes. Add a rate_limit block to the af3_predict_structure 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_structure completely? +

Set action: deny in the PolicyLayer policy for af3_predict_structure. 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_structure? +

af3_predict_structure 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.