devnet_launch_l1
Create a single custom Subnet-EVM L1 and deploy it locally. Returns the exit code and log tail; read the chain
This record as markdown: /tools/dev-avakit-avalanche/devnet-launch-l1.md
What devnet_launch_l1 does on Avalanche
AI agents invoke devnet_launch_l1 to trigger actions in Avalanche. 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 devnet_launch_l1 is rated High
Launches and deploys blockchain infrastructure locally; triggers external operations with broad side effects.
From the tool's definition Create a single custom Subnet-EVM L1 and deploy it locally
Attacks that exploit this kind of access
The rule that runs devnet_launch_l1 safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Avalanche, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For devnet_launch_l1, this is the rule to start with:
devnet_launch_l1 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 Avalanche, apply this rule, and every devnet_launch_l1 call is checked against it from then on.
Questions about devnet_launch_l1
Create a single custom Subnet-EVM L1 and deploy it locally. Returns the exit code and log tail; read the chain. It is categorised as a Execute tool in the Avalanche MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Avalanche MCP server in PolicyLayer and add a rule for devnet_launch_l1: 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 Avalanche. Nothing to install.
devnet_launch_l1 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 devnet_launch_l1 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 devnet_launch_l1. 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.
devnet_launch_l1 is provided by the Avalanche MCP server (@avakit/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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