submit_protein_prediction · FoldRun MCP Server MCP

WHAT IT DOES

What submit_protein_prediction does on FoldRun MCP Server

AI agents invoke submit_protein_prediction to trigger actions in FoldRun 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 submit_protein_prediction needs a policy

Submitting a prediction job initiates an external process or computation on a remote service. This falls under Execute since it triggers an external operation. The sibling tools (get_job_status, get_prediction_results) are Read-type, confirming this tool is the action initiator. Confidence is moderate because the description is empty and behavior is inferred from name and server context.

From the tool's definition Tool name 'submit_protein_prediction' combined with server context describing 'protein structure prediction tools (submit, status, results)' — submitting a prediction job triggers an external computational operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

submit_protein_prediction Rate-limited

submit_protein_prediction 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": {
    "submit_protein_prediction": {
      "limits": [
        {
          "counter": "submit_protein_prediction_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 FoldRun MCP Server, so you can run agents against it safely.

FAQ

Questions about submit_protein_prediction

What does the submit_protein_prediction tool do? +

submit_protein_prediction. It is categorised as a Execute tool in the FoldRun 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 submit_protein_prediction? +

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

What risk level is submit_protein_prediction? +

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

Can I rate-limit submit_protein_prediction? +

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

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

submit_protein_prediction is provided by the FoldRun MCP Server MCP server (jz3736/foldrun-mcp-ge-demo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.