browser_mouse_up
A execute tool on the Playwright MCP server.
This record as markdown: /tools/alialobidm-playwright-mcp/browser-mouse-up.md
What browser_mouse_up does on Playwright MCP
AI agents invoke browser_mouse_up to trigger actions in Playwright MCP. 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 browser_mouse_up is rated High
Based on the server context (Playwright browser automation) and the tool name, this tool likely releases a mouse button in the browser, which is a browser interaction/action. Empty description lowers confidence. Sibling tools like browser_click and browser_drag confirm this is an Execute-category server performing browser actions.
From the tool's definition Tool name 'browser_mouse_up' on a Playwright browser automation server; description is empty.
Attacks that exploit this kind of access
The rule that runs browser_mouse_up safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Playwright MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_mouse_up, this is the rule to start with:
browser_mouse_up 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 Playwright MCP, apply this rule, and every browser_mouse_up call is checked against it from then on.
Questions about browser_mouse_up
browser_mouse_up is a execute tool on the Playwright MCP server. It is categorised as a Execute tool in the Playwright MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP server in PolicyLayer and add a rule for browser_mouse_up: 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 Playwright MCP. Nothing to install.
browser_mouse_up 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 browser_mouse_up 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 browser_mouse_up. 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.
browser_mouse_up is provided by the Playwright MCP server (alialobidm/playwright-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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