Medium Risk

generate_and_add_meal

Generate a new AI meal and insert it into an empty slot in an existing plan (specific day + meal type). Use this to fill gaps in a plan. To replace an existing meal, use regenerate_meal instead. This operation takes 15-30 seconds and counts against quota.

Part of the Mealmastery server.

generate_and_add_meal can modify Mealmastery data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use generate_and_add_meal to create or modify resources in Mealmastery. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_and_add_meal repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mealmastery.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_and_add_meal": {
      "limits": [
        {
          "counter": "generate_and_add_meal_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access generate_and_add_meal gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so generate_and_add_meal only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_and_add_meal tool do? +

Generate a new AI meal and insert it into an empty slot in an existing plan (specific day + meal type). Use this to fill gaps in a plan. To replace an existing meal, use regenerate_meal instead. This operation takes 15-30 seconds and counts against quota.. It is categorised as a Write tool in the Mealmastery MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_and_add_meal? +

Register the Mealmastery MCP server in PolicyLayer and add a rule for generate_and_add_meal: 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 Mealmastery. Nothing to install.

What risk level is generate_and_add_meal? +

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

Can I rate-limit generate_and_add_meal? +

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

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

generate_and_add_meal is provided by the Mealmastery MCP server (MealMasteryAI/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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