Type text character-by-character into an input. Fires real keyboard events for each character. Use for autocomplete, search-as-you-type, or inputs that need keystroke events. Does NOT clear the field first (use fill for that).
AI agents invoke browserbeam_type to trigger actions in Browserbeam MCP 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.
This tool triggers real browser keyboard events character-by-character in a live browser session, constituting an external browser action/operation. While it writes text into an input field, it 'executes' actual keystroke events that can trigger side effects like autocomplete, search queries, or form submissions depending on the target input.
From the tool's definition Type text character-by-character into an input. Fires real keyboard events for each character. Use for autocomplete, search-as-you-type, or inputs that need keystroke events.
Attacks that exploit this kind of access
Type text character-by-character into an input. Fires real keyboard events for each character. Use for autocomplete, search-as-you-type, or inputs that need keystroke events. Does NOT clear the field first (use fill for that). It is categorised as a Execute tool in the Browserbeam MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Browserbeam MCP Server MCP server in PolicyLayer and add a rule for browserbeam_type: 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 Browserbeam MCP Server. Nothing to install.
browserbeam_type 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 browserbeam_type 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 browserbeam_type. 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.
browserbeam_type is provided by the Browserbeam MCP Server MCP server (nyku/browserbeam-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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