browser_highlight
A write tool on the Playwright MCP server.
This record as markdown: /tools/hanato238-playwright-mcp/browser-highlight.md
What browser_highlight does on Playwright
AI agents use browser_highlight to create or update resources in Playwright, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Playwright environment.
Why browser_highlight is rated Medium
An AI agent can call browser_highlight faster than any human can review: one bad instruction and it creates or modifies resources in Playwright by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs browser_highlight 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_highlight, this is the rule to start with:
browser_highlight stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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_highlight call is checked against it from then on.
Questions about browser_highlight
browser_highlight is a write tool on the Playwright MCP server. It is categorised as a Write tool in the Playwright MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Playwright MCP server in PolicyLayer and add a rule for browser_highlight: 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_highlight is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the browser_highlight 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_highlight. 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_highlight 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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