AI agents invoke udp_send_receive to trigger actions in Allcanuse. 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.
The tool name suggests it performs active network communication by sending and receiving UDP datagrams, which constitutes triggering external operations. This falls under Execute due to network I/O with potential side effects. Severity is high given potential for network exfiltration, scanning, or abuse. Confidence is lowered due to empty description.
From the tool's definition Tool name 'udp_send_receive' implies sending and receiving UDP network packets; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access udp_send_receive gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Allcanuse, and nothing reaches the server without passing your rules. This is the rule we recommend for udp_send_receive:
{
"version": "1",
"default": "deny",
"tools": {
"udp_send_receive": {
"limits": [
{
"counter": "udp_send_receive_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}udp_send_receive stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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udp_send_receive. It is categorised as a Execute tool in the Allcanuse MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Allcanuse MCP server in PolicyLayer and add a rule for udp_send_receive: 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 Allcanuse. Nothing to install.
udp_send_receive 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 udp_send_receive 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 udp_send_receive. 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.
udp_send_receive is provided by the Allcanuse MCP server (ra1nyxin/allcanuse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Allcanuse, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
130 Allcanuse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.