AI agents call get_recipe to retrieve information from Speclib without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing recipe data and linked specifications without any side effects. It is a read-only query operation that fetches and returns information. No data is created, modified, deleted, or executed. The low severity reflects minimal risk from misuse — an AI agent retrieving specs poses no safety concern.
From the tool's definition Tool description states 'Get a recipe by ID, including its linked specs with full content' — purely a retrieval operation with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
Get a recipe by ID, including its linked specs with full content. It is categorised as a Read tool in the Speclib MCP Server, which means it retrieves data without modifying state.
Register the Speclib MCP server in PolicyLayer and add a rule for get_recipe: 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 Speclib. Nothing to install.
get_recipe 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 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. 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 is provided by the Speclib MCP server (rang501/speclib-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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