This record as markdown: /tools/browser/pin-active-tab.md
What pin_active_tab does on Browser
AI agents invoke pin_active_tab to trigger actions in Browser. 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.
Why pin_active_tab is rated High
Pinning a browser tab is a browser action that modifies the state of the browser UI (tab pinned state). It triggers an external browser operation. While not destructive or data-modifying, it does change browser state and fits the Execute category (browser action). The blast radius is low as pinning a tab has minimal security or data impact.
From the tool's definition Pin active tab (tab id)
Attacks that exploit this kind of access
The rule that runs pin_active_tab safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Browser, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pin_active_tab, this is the rule to start with:
pin_active_tab 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Browser, apply this rule, and every pin_active_tab call is checked against it from then on.
Questions about pin_active_tab
Pin active tab (tab id). It is categorised as a Execute tool in the Browser MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Browser MCP server in PolicyLayer and add a rule for pin_active_tab: 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 Browser. Nothing to install.
pin_active_tab 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 pin_active_tab 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 pin_active_tab. 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.
pin_active_tab is provided by the Browser MCP server (mcp-server-browser). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Browser, and thousands of servers like it.
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