browser_resize
A execute tool on the Playwright MCP server.
This record as markdown: /tools/hanato238-playwright-mcp/browser-resize.md
What browser_resize does on Playwright
AI agents invoke browser_resize to trigger actions in Playwright. 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_resize is rated High
Based on the tool name and context (a Playwright browser automation MCP server), browser_resize likely resizes the browser window or viewport. This is a browser action/operation that affects the state of the browser session. Empty description lowers confidence.
From the tool's definition Tool name 'browser_resize' on a browser automation server; description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs browser_resize safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Playwright, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_resize, this is the rule to start with:
browser_resize 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, apply this rule, and every browser_resize call is checked against it from then on.
Questions about browser_resize
browser_resize is a execute tool on the Playwright MCP server. It is categorised as a Execute tool in the Playwright 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_resize: 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. Nothing to install.
browser_resize 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_resize 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_resize. 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_resize is provided by the Playwright MCP server (hanato238/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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