Start a stopped container
AI agents invoke start_container to trigger actions in MCP Developer 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.
Starting a container is an Execute action because it triggers code/process execution in an isolated environment. While containerization provides safety boundaries, the tool initiates external operations whose behavior depends on the container's configuration and workload. This is not Read (no data retrieval), Write (not creating/modifying persistent data structures), Destructive (reversible), or Financial.
From the tool's definition Tool starts a stopped container, which executes operations within an isolated Docker environment. The description indicates it 'Start[s] a stopped container,' triggering external Docker runtime operations whose effects depend on the container's configured…
Attacks that exploit this kind of access
Start a stopped container. It is categorised as a Execute tool in the MCP Developer Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Developer Server MCP server in PolicyLayer and add a rule for start_container: 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 MCP Developer Server. Nothing to install.
start_container 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 start_container 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 start_container. 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.
start_container is provided by the MCP Developer Server MCP server (ra86-dev/mcpdev-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →