This record as markdown: /tools/yuga-hashimoto-localant/tunnel-stop.md
What tunnel_stop does on LocalAnt
AI agents invoke tunnel_stop to trigger actions in LocalAnt. 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.
Why tunnel_stop is rated High
Stopping a tunnel is an Execute action—it triggers an external operation (terminating a tunnel process) whose effects depend on which tunnel is running. It is not Read (no data retrieval), Write (not creating/modifying reversible data), Destructive (the tunnel can be restarted), or Financial. Severity is medium because stopping a tunnel disrupts connectivity but does not destroy data or cause financial harm.
From the tool's definition Tool name 'tunnel_stop' and description 'Stop the public tunnel' indicate termination of an active network tunnel service. This is an operational action that affects system state and network connectivity.
Attacks that exploit this kind of access
The rule that runs tunnel_stop safely
PolicyLayer is an MCP gateway: it sits between your AI agents and LocalAnt, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tunnel_stop, this is the rule to start with:
tunnel_stop 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.
The button opens the PolicyLayer dashboard: create your workspace, connect LocalAnt, apply this rule, and every tunnel_stop call is checked against it from then on.
Questions about tunnel_stop
Stop the public tunnel. It is categorised as a Execute tool in the LocalAnt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the LocalAnt MCP server in PolicyLayer and add a rule for tunnel_stop: 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 LocalAnt. Nothing to install.
tunnel_stop 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 tunnel_stop 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 tunnel_stop. 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.
tunnel_stop is provided by the LocalAnt MCP server (yuga-hashimoto/localant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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