AI agents use close_session to create or update resources in Iterm2 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Iterm2 environment.
An AI agent can call close_session faster than any human can review — one bad instruction and it creates or modifies resources in Iterm2 by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Close a specific session. It is categorised as a Write tool in the Iterm2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Iterm2 MCP server in PolicyLayer and add a rule for close_session: 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 Iterm2. Nothing to install.
close_session is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the close_session 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 close_session. 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.
close_session is provided by the Iterm2 MCP server (lorencarvalho/iterm2-mcp). 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 →