average · DateTime-LocalMCPServer MCP: Risk & Policy

WHAT IT DOES

What average does on DateTime-LocalMCPServer

AI agents use average to create or update resources in DateTime-LocalMCPServer — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DateTime-LocalMCPServer environment.

WHY IT NEEDS A POLICY

Why average needs a policy

An AI agent can call average faster than any human can review — one bad instruction and it creates or modifies resources in DateTime-LocalMCPServer by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

average Rate-limited

average 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": {
    "average": {
      "limits": [
        {
          "counter": "average_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches DateTime-LocalMCPServer, so you can run agents against it safely.

FAQ

Questions about average

What does the average tool do? +

Calculate the arithmetic mean of numbers. It is categorised as a Write tool in the DateTime-LocalMCPServer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on average? +

Register the DateTime-LocalMCPServer MCP server in PolicyLayer and add a rule for average: 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 DateTime-LocalMCPServer. Nothing to install.

What risk level is average? +

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

Can I rate-limit average? +

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

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

average is provided by the DateTime-LocalMCPServer MCP server (vikasprajapati1998/datetime-localmcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.