AI agents call get_num_rand to retrieve information from MCP Demo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool generates and returns a random number based on input parameters. It performs no data modification, deletion, or external operations with side effects. It is a deterministic read-only computation, making it a Read category tool with low severity due to minimal blast radius from misuse.
From the tool's definition Tool name 'get_num_rand' and description 'Get a random multiple of the given number' indicate a pure query operation that retrieves a computed value with no side effects.
Attacks that exploit this kind of access
Get a random multiple of the given number. It is categorised as a Read tool in the MCP Demo MCP Server, which means it retrieves data without modifying state.
Register the MCP Demo MCP server in PolicyLayer and add a rule for get_num_rand: 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 MCP Demo. Nothing to install.
get_num_rand 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_num_rand 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_num_rand. 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_num_rand is provided by the MCP Demo MCP server (lakyia/mcpdemo). 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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