List the current user's recipe ratings.
AI agents call list_self_ratings to retrieve information from Mealie MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data (the user's recipe ratings) with no side effects. It does not create, modify, delete, or execute operations. The blast radius of misuse is minimal—an attacker could only view the user's rating history, which is low-impact information disclosure.
From the tool's definition Tool name 'list_self_ratings' and description 'List the current user's recipe ratings' indicate a retrieval operation that queries existing rating data without modification.
Attacks that exploit this kind of access
List the current user's recipe ratings. It is categorised as a Read tool in the Mealie MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Mealie MCP Server MCP server in PolicyLayer and add a rule for list_self_ratings: 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 Mealie MCP Server. Nothing to install.
list_self_ratings 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 list_self_ratings 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 list_self_ratings. 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.
list_self_ratings is provided by the Mealie MCP Server MCP server (nikopol666/mealie-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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