AI agents call get_random_items to retrieve information from Plex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries data from a local Plex library without side effects. It returns a random subset of items based on filtering criteria (genre, watched status, etc.), which is a read operation. There is no data modification, code execution, or irreversible action.
From the tool's definition Tool description states 'Get a random selection from a library section' with optional filters for discovery.
Attacks that exploit this kind of access
Get a random selection from a library section, with optional filters. Combine with genre/unwatched filters for discovery (e.g. random unwatched comedy). It is categorised as a Read tool in the Plex MCP Server, which means it retrieves data without modifying state.
Register the Plex MCP server in PolicyLayer and add a rule for get_random_items: 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 Plex. Nothing to install.
get_random_items 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_random_items 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_random_items. 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_random_items is provided by the Plex MCP server (x10send/plex-mcp-server). 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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