This record as markdown: /tools/openclaw/browser.md
What browser does on OpenClaw
AI agents invoke browser to trigger actions in OpenClaw. 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 is rated High
A 'browser' tool typically executes browser-based actions (navigation, clicks, form submissions) which fall under Execute. The description 'Manage OpenClaw' is vague and uninformative, preventing precise classification. Given the tool name implies browser automation and the server context includes agents, actions, and approvals, browser control is likely Execute-level.
From the tool's definition Tool name 'browser' and description 'Manage OpenClaw' — description is uninformative and does not clarify what browser actions are taken or what 'Manage OpenClaw' entails.
Attacks that exploit this kind of access
The rule that runs browser safely
PolicyLayer is an MCP gateway: it sits between your AI agents and OpenClaw, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser, this is the rule to start with:
browser 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 OpenClaw, apply this rule, and every browser call is checked against it from then on.
Questions about browser
Manage OpenClaw. It is categorised as a Execute tool in the OpenClaw MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OpenClaw MCP server in PolicyLayer and add a rule for browser: 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 OpenClaw. Nothing to install.
browser 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 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. 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 is provided by the OpenClaw MCP server (openclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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