AI agents call meal_random to retrieve information from UnClick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves random meal or recipe data from a database or API without modifying, deleting, or executing any operations. It is a straightforward read operation with no destructive, financial, or executable consequences. The low severity reflects minimal risk if misused by an AI agent.
From the tool's definition Tool name 'meal_random' and description 'Get a random meal/recipe' indicate a simple data retrieval operation with no side effects.
Attacks that exploit this kind of access
Get a random meal/recipe. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
Register the UnClick MCP server in PolicyLayer and add a rule for meal_random: 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 UnClick. Nothing to install.
meal_random is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the meal_random 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_random. 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_random is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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