AI agents invoke call_end to trigger actions in Ringback. 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.
Based on the server context (live voice call management) and sibling tools, 'call_end' most likely terminates an active phone call. This is an external operation that affects a live telephony session. While ending a call could be considered mildly destructive (terminates an ongoing conversation), it is more accurately categorized as Execute since it triggers an external operation (hanging up a call).
From the tool's definition Tool name 'call_end' on a server that manages live voice calls (sibling tools: call_start, call_status, converse, say, listen). Description is empty.
Documented attack patterns abuse exactly the kind of access call_end gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ringback, and nothing reaches the server without passing your rules. This is the rule we recommend for call_end:
{
"version": "1",
"default": "deny",
"tools": {
"call_end": {
"limits": [
{
"counter": "call_end_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}call_end 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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call_end. It is categorised as a Execute tool in the Ringback MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ringback MCP server in PolicyLayer and add a rule for call_end: 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 Ringback. Nothing to install.
call_end 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 call_end 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 call_end. 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.
call_end is provided by the Ringback MCP server (mohitbadwal/ringback). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ringback, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 Ringback tools catalogued and risk-classified — across an index of 43,000+ MCP servers.