AI agents call list_panes to retrieve information from Teammate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to enumerate or query existing iTerm panes without modifying state. No description is provided, which lowers confidence slightly, but the naming convention (list_*) strongly suggests a Read operation that retrieves data about panes. This has minimal blast radius if misused by an agent.
From the tool's definition Tool name 'list_panes' indicates retrieval of pane information. Description is empty, but the name suggests a listing/query operation typical of Read category tools in iTerm context.
Attacks that exploit this kind of access
list_panes. It is categorised as a Read tool in the Teammate MCP Server, which means it retrieves data without modifying state.
Register the Teammate MCP server in PolicyLayer and add a rule for list_panes: 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 Teammate. Nothing to install.
list_panes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_panes 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 list_panes. 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.
list_panes is provided by the Teammate MCP server (jonghklee/teammate-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.
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