get_effective_oop_policy

Get effective OOP validation policy for a file or directory target.

SERVERTwinCAT Validator MCP Server SOURCEagenticcontrolio/twincat-validator-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/agenticcontrolio-twincat-validator-mcp/get-effective-oop-policy.md

WHAT IT DOES

What get_effective_oop_policy does on TwinCAT Validator MCP Server

AI agents call get_effective_oop_policy to retrieve information from TwinCAT Validator MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_effective_oop_policy is rated Low

This tool retrieves and queries the current OOP validation policy settings applicable to a file or directory. It performs a read-only lookup operation that returns configuration state without side effects, making it a Read category tool with low severity risk — an AI agent cannot cause harm by retrieving policy information.

From the tool's definition Tool name 'get_effective_oop_policy' and description 'Get effective OOP validation policy for a file or directory target' indicate retrieval of configuration/policy information with no modification or execution of external operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_effective_oop_policy 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 get_effective_oop_policy, this is the rule to start with:

get_effective_oop_policy Allowed

get_effective_oop_policy is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_effective_oop_policy": {}
  }
}

ALLOW ONLY 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 get_effective_oop_policy call is checked against it from then on.

FAQ

Questions about get_effective_oop_policy

What does the get_effective_oop_policy tool do? +

Get effective OOP validation policy for a file or directory target. It is categorised as a Read tool in the TwinCAT Validator MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_effective_oop_policy? +

Register the TwinCAT Validator MCP Server MCP server in PolicyLayer and add a rule for get_effective_oop_policy: 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 get_effective_oop_policy? +

get_effective_oop_policy is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_effective_oop_policy? +

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

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

get_effective_oop_policy 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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