Medium Risk

shopping_generate_grocery_list

Generate a grocery shopping list from recipe ingredients. Collects ingredients across multiple recipes and provides an Instacart delivery link for same-day ordering. TRIGGERS: - 'make a grocery list for X', 'shopping list for X recipe' - 'what do I need to buy for X', 'ingredients I need to buy' ...

Part of the SAVORDISH server.

shopping_generate_grocery_list can modify SAVORDISH 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 shopping_generate_grocery_list to create or modify resources in SAVORDISH. 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 shopping_generate_grocery_list 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 SAVORDISH.

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

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

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These attack patterns abuse exactly the kind of access shopping_generate_grocery_list 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 shopping_generate_grocery_list 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 shopping_generate_grocery_list tool do? +

Generate a grocery shopping list from recipe ingredients. Collects ingredients across multiple recipes and provides an Instacart delivery link for same-day ordering. TRIGGERS: - 'make a grocery list for X', 'shopping list for X recipe' - 'what do I need to buy for X', 'ingredients I need to buy' - 'generate shopping list', 'create a grocery list from these recipes' CATEGORIES: produce, dairy, meat, seafood, deli, bakery, frozen, pantry, snacks, beverages, household, other. It is categorised as a Write tool in the SAVORDISH MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on shopping_generate_grocery_list? +

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

What risk level is shopping_generate_grocery_list? +

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

Can I rate-limit shopping_generate_grocery_list? +

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

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

shopping_generate_grocery_list is provided by the SAVORDISH MCP server (savordish/savor-dish). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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