get_recipe_details
AI agents call get_recipe_details to retrieve information from Recipe Research MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool fetches and returns recipe details without side effects. It queries data from an external recipe API and presents results. The empty description slightly reduces confidence, but the name, server context, and sibling tool patterns (search_recipes, get_random_recipe) all indicate read-only data retrieval operations typical of recipe lookup functionality.
From the tool's definition Tool name 'get_recipe_details' indicates retrieval of recipe information. Server description confirms it 'provides comprehensive recipe discovery' and retrieves data from TheMealDB API. No modification, deletion, or execution of external commands mentioned.
Attacks that exploit this kind of access
get_recipe_details. It is categorised as a Read tool in the Recipe Research MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Recipe Research MCP Server MCP server in PolicyLayer and add a rule for get_recipe_details: 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 Recipe Research MCP Server. Nothing to install.
get_recipe_details 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_recipe_details 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_recipe_details. 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_recipe_details is provided by the Recipe Research MCP Server MCP server (suraj-yadav-aiml/recipe-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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