tunnel_start
Start the public tunnel on the live gateway port.
This record as markdown: /tools/yuga-hashimoto-localant/tunnel-start.md
What tunnel_start does on LocalAnt
AI agents invoke tunnel_start 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_start is rated High
This tool triggers an external operation (starting a public tunnel) whose effects are significant and depend on gateway configuration. It enables network exposure of the LocalAnt gateway, potentially allowing remote access to the PC control capabilities. This is an Execute action because it initiates a process/service with real-world side effects, but not Destructive (reversible via tunnel_stop) and not Financial.
From the tool's definition Tool name 'tunnel_start' combined with description 'Start the public tunnel on the live gateway port' indicates initiation of a network tunnel that exposes a local service to the public internet.
Attacks that exploit this kind of access
The rule that runs tunnel_start 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_start, this is the rule to start with:
tunnel_start 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_start call is checked against it from then on.
Questions about tunnel_start
Start the public tunnel on the live gateway port. 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_start: 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_start 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_start 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_start. 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_start 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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