browser_press_key

Press a keyboard key (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown') or a single character. Optional ref focuses an element first — aria-ref token from browser.snapshot ('e7') or a CSS selector.

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp
High RISK CLASS
Category Execute
Parameters 32 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/browser-press-key.md

What browser_press_key does on Dialogbrain

AI agents invoke browser_press_key to trigger actions in Dialogbrain. 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.

ParameterTypeRequiredDescription
key string Yes
ref object
page_id string Yes

Parameters from the server's own tool schema.

Why browser_press_key is rated High

This tool simulates keyboard input in a browser context, triggering UI interactions whose effects depend on what element is focused and what key is pressed. It can submit forms, navigate menus, or trigger arbitrary actions — classic Execute category browser automation. Severity is medium because the blast radius depends on context, but misuse could trigger unintended actions in the browser UI.

From the tool's definition "Press a keyboard key" and "Optional `ref` focuses an element first"

Questions about browser_press_key

What does the browser_press_key tool do? +

Press a keyboard key (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown') or a single character. Optional ref focuses an element first — aria-ref token from browser.snapshot ('e7') or a CSS selector. It is categorised as a Execute tool in the Dialogbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does browser_press_key accept? +

browser_press_key accepts 3 parameters: key, ref, page_id. Required: key, page_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on browser_press_key? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for browser_press_key: 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 Dialogbrain. Nothing to install.

What risk level is browser_press_key? +

browser_press_key is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit browser_press_key? +

Yes. Add a rate_limit block to the browser_press_key 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.

How do I block browser_press_key completely? +

Set action: deny in the PolicyLayer policy for browser_press_key. 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.

What MCP server provides browser_press_key? +

browser_press_key is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Dialogbrain, and thousands of servers like it.

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Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Dialogbrain's. Pull the full record:

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