autofix_batch

A write tool on the TwinCAT Validator MCP server.

SERVERTwinCAT Validator MCP Server SOURCEagenticcontrolio/twincat-validator-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/agenticcontrolio-twincat-validator-mcp/autofix-batch.md

WHAT IT DOES

What autofix_batch does on TwinCAT Validator MCP Server

AI agents use autofix_batch to create or update resources in TwinCAT Validator MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TwinCAT Validator MCP Server environment.

RISK

Why autofix_batch is rated Medium

The tool modifies XML files in batch operations, which is a reversible write action. Severity is high because batch auto-fixes to industrial automation code (IEC 61131-3) could introduce unintended logic changes across multiple projects if the fixing heuristics are incorrect or applied to wrong contexts.

From the tool's definition Tool is named 'autofix_batch' and sits alongside 'autofix_file' on a server explicitly described as performing 'auto-fixing' and 'apply safe fixes' to TwinCAT 3 XML files. The batch variant implies it modifies multiple files at once.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs autofix_batch safely

PolicyLayer is an MCP gateway: it sits between your AI agents and TwinCAT Validator MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For autofix_batch, this is the rule to start with:

autofix_batch Rate-limited

autofix_batch stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "autofix_batch": {
      "limits": [
        {
          "counter": "autofix_batch_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect TwinCAT Validator MCP Server, apply this rule, and every autofix_batch call is checked against it from then on.

FAQ

Questions about autofix_batch

What does the autofix_batch tool do? +

autofix_batch is a write tool on the TwinCAT Validator MCP Server MCP server. It is categorised as a Write tool in the TwinCAT Validator MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on autofix_batch? +

Register the TwinCAT Validator MCP Server MCP server in PolicyLayer and add a rule for autofix_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 TwinCAT Validator MCP Server. Nothing to install.

What risk level is autofix_batch? +

autofix_batch is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit autofix_batch? +

Yes. Add a rate_limit block to the autofix_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 autofix_batch completely? +

Set action: deny in the PolicyLayer policy for autofix_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 autofix_batch? +

autofix_batch is provided by the TwinCAT Validator MCP Server MCP server (agenticcontrolio/twincat-validator-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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