create_meal_plan · Recipe Research MCP Server MCP

WHAT IT DOES

What create_meal_plan does on Recipe Research MCP Server

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

WHY IT NEEDS A POLICY

Why create_meal_plan needs a policy

The tool creates or stores meal plan data within the system, which is a reversible write operation. No evidence of financial transactions, code execution, or data deletion. The empty description lowers confidence slightly, but the naming and server context provide sufficient clarity for a Write classification.

From the tool's definition Tool name 'create_meal_plan' combined with server description stating 'custom meal plan creation' indicates creation of data records. No destructive or side-effect operations suggested by the context.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_meal_plan Rate-limited

create_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": {
    "create_meal_plan": {
      "limits": [
        {
          "counter": "create_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 Recipe Research MCP Server, so you can run agents against it safely.

FAQ

Questions about create_meal_plan

What does the create_meal_plan tool do? +

create_meal_plan. It is categorised as a Write tool in the Recipe Research 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 create_meal_plan? +

Register the Recipe Research MCP Server MCP server in PolicyLayer and add a rule for create_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 Recipe Research MCP Server. Nothing to install.

What risk level is create_meal_plan? +

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

Can I rate-limit create_meal_plan? +

Yes. Add a rate_limit block to the create_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 create_meal_plan completely? +

Set action: deny in the PolicyLayer policy for create_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 create_meal_plan? +

create_meal_plan is provided by the Recipe Research MCP Server MCP server (suraj-yadav-aiml/recipe-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.