Creates a new Docker container with specified image
AI agents invoke create_container_environment to trigger actions in Sandbox MCP Server. 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.
Spinning up a Docker container provisions real compute/OS-level resources and can have broad side effects (network exposure, resource consumption, potential escape vectors). It goes beyond a simple write operation since it executes and runs an isolated environment. Misuse could result in spinning up malicious images or exhausting host resources, warranting high severity.
From the tool's definition Creates a new Docker container with specified image
Documented attack patterns abuse exactly the kind of access create_container_environment gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sandbox MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_container_environment:
{
"version": "1",
"default": "deny",
"tools": {
"create_container_environment": {
"limits": [
{
"counter": "create_container_environment_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} create_container_environment 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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Creates a new Docker container with specified image. It is categorised as a Execute tool in the Sandbox MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sandbox MCP Server MCP server in PolicyLayer and add a rule for create_container_environment: 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 Sandbox MCP Server. Nothing to install.
create_container_environment 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 create_container_environment 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 create_container_environment. 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.
create_container_environment is provided by the Sandbox MCP Server MCP server (tsuchijo/sandbox-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sandbox MCP Server, 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.
6 Sandbox MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.