auto_meal_plan · Tandoor MCP Server MCP: Risk & Policy

WHAT IT DOES

What auto_meal_plan does on Tandoor MCP Server

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

WHY IT NEEDS A POLICY

Why auto_meal_plan needs a policy

This tool creates new meal plan records in the Tandoor system based on provided parameters. It generates and writes data (meal plans) to the system but does not irreversibly delete data, execute arbitrary code, move money, or trigger destructive operations. The impact is reversible since meal plans can be deleted or modified.

From the tool's definition Tool description states "Auto-generate meal plans" with parameters for start_date, end_date, meal_type_id, keyword_ids, servings, and addshopping. The 'auto_meal_plan' name and auto-generation behavior indicate creation of new meal plan data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auto_meal_plan Rate-limited

auto_meal_plan 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": {
    "auto_meal_plan": {
      "limits": [
        {
          "counter": "auto_meal_plan_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 Tandoor MCP Server, so you can run agents against it safely.

FAQ

Questions about auto_meal_plan

What does the auto_meal_plan tool do? +

Auto-generate meal plans. Required: start_date, end_date (YYYY-MM-DD), meal_type_id, keyword_ids[], servings, addshopping. It is categorised as a Write tool in the Tandoor 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 auto_meal_plan? +

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

What risk level is auto_meal_plan? +

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

Can I rate-limit auto_meal_plan? +

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

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

auto_meal_plan is provided by the Tandoor MCP Server MCP server (mc-mario/tandoor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.