Evaluate JavaScript expression in the page context.
AI agents invoke cloak_evaluate to trigger actions in CloakBrowser 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 executes arbitrary JavaScript in the browser page context, which can perform virtually any action including reading/writing data, making network requests, manipulating the DOM, accessing cookies/localStorage, and triggering side effects. Arbitrary code execution in a browser context has high blast radius.
From the tool's definition Evaluate JavaScript expression in the page context
Attacks that exploit this kind of access
Evaluate JavaScript expression in the page context. It is categorised as a Execute tool in the CloakBrowser MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CloakBrowser MCP Server MCP server in PolicyLayer and add a rule for cloak_evaluate: 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 CloakBrowser MCP Server. Nothing to install.
cloak_evaluate 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 cloak_evaluate 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 cloak_evaluate. 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.
cloak_evaluate is provided by the CloakBrowser MCP Server MCP server (miwoomiwoo/cloakbrowser-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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