AI agents invoke send_to_device to trigger actions in Lyceum. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool performs an external operation by downloading content and transmitting it to an external device. It is not a simple read (it has side effects on the device), not purely destructive, and not financial. 'Execute' best captures the triggered external operation of sending data to a device.
From the tool's definition Downloads the book from the library and sends it to the specified device
Attacks that exploit this kind of access
Send a book to an e-reader device. Downloads the book from the library and sends it to the specified device. It is categorised as a Execute tool in the Lyceum MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lyceum MCP server in PolicyLayer and add a rule for send_to_device: 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 Lyceum. Nothing to install.
send_to_device is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the send_to_device 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 send_to_device. 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.
send_to_device is provided by the Lyceum MCP server (matthewp/lyceum). 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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