Close specific tabs or windows
AI agents use chrome_close_tabs to create or update resources in Chrome MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Chrome MCP Server environment.
An AI agent can call chrome_close_tabs faster than any human can review — one bad instruction and it creates or modifies resources in Chrome MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Close specific tabs or windows. It is categorised as a Write tool in the Chrome MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Chrome MCP Server MCP server in PolicyLayer and add a rule for chrome_close_tabs: 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 Chrome MCP Server. Nothing to install.
chrome_close_tabs 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 chrome_close_tabs 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 chrome_close_tabs. 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.
chrome_close_tabs is provided by the Chrome MCP Server MCP server (mnisred/mcp-chrome). 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 →