Get meal plan by ID
AI agents call get_meal_plan to retrieve information from Tandoor 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 an existing meal plan by its identifier. It performs a query/fetch operation with no side effects—no data is created, modified, deleted, or executed. This is a straightforward read operation with minimal risk; misuse would only expose existing meal plan information.
From the tool's definition Tool name 'get_meal_plan' and description 'Get meal plan by ID' indicate a retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
Get meal plan by ID. It is categorised as a Read tool in the Tandoor MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Tandoor MCP Server MCP server in PolicyLayer and add a rule for get_meal_plan: 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 Tandoor MCP Server. Nothing to install.
get_meal_plan 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 get_meal_plan 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 get_meal_plan. 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.
get_meal_plan is provided by the Tandoor MCP Server MCP server (mc-mario/tandoor-mcp). 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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