AI agents use meal_plan_week to create or modify resources in Spoonacular. 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 meal_plan_week 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 Spoonacular.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"meal_plan_week": {
"limits": [
{
"counter": "meal_plan_week_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Spoonacular policy for all 38 tools.
These attack patterns abuse exactly the kind of access meal_plan_week gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
7-day plan.. It is categorised as a Write tool in the Spoonacular MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Spoonacular MCP server in PolicyLayer and add a rule for meal_plan_week: 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 Spoonacular. Nothing to install.
meal_plan_week is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the meal_plan_week 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.
Set action: deny in the PolicyLayer policy for meal_plan_week. 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.
meal_plan_week is provided by the Spoonacular MCP server (https://gateway.pipeworx.io/spoonacular/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 38 Spoonacular tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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