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recipes_scale

Scale a recipe for different serving sizes. Returns the original ingredients with a scaling multiplier to adjust quantities. TRIGGERS: - 'scale recipe X for 8 people', 'double the recipe for X' - 'halve the recipe', 'adjust servings for X' - 'how much for X servings', 'recipe for a crowd'

Part of the SAVORDISH server.

recipes_scale can trigger actions in SAVORDISH, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke recipes_scale to trigger processes or run actions in SAVORDISH. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

recipes_scale can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recipes_scale": {
      "limits": [
        {
          "counter": "recipes_scale_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access recipes_scale 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 recipes_scale only ever does what you allow.

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

What does the recipes_scale tool do? +

Scale a recipe for different serving sizes. Returns the original ingredients with a scaling multiplier to adjust quantities. TRIGGERS: - 'scale recipe X for 8 people', 'double the recipe for X' - 'halve the recipe', 'adjust servings for X' - 'how much for X servings', 'recipe for a crowd'. It is categorised as a Execute tool in the SAVORDISH MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on recipes_scale? +

Register the SAVORDISH MCP server in PolicyLayer and add a rule for recipes_scale: 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 recipes_scale? +

recipes_scale is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit recipes_scale? +

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

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

recipes_scale 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.

Enforce policy on every SAVORDISH tool call.

Deterministic rules across all 31 SAVORDISH tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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