This record as markdown: /tools/openclaw/dashboard.md
What dashboard does on OpenClaw
AI agents call dashboard to retrieve information from OpenClaw without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why dashboard is rated Low
The tool opens a dashboard/control UI, which is primarily a read/display operation. No evidence of data modification, execution, or financial operations. Confidence is moderate because 'Control UI' could imply write or execute capabilities depending on what the UI exposes, but the tool itself just opens the view.
From the tool's definition 'Open the Control UI with your current token' — opens a UI view, implies a read/display action
Attacks that exploit this kind of access
The rule that runs dashboard 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 dashboard, this is the rule to start with:
dashboard is read-only, so it stays allowed. 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 dashboard call is checked against it from then on.
Questions about dashboard
Open the Control UI with your current token. It is categorised as a Read tool in the OpenClaw MCP Server, which means it retrieves data without modifying state.
Register the OpenClaw MCP server in PolicyLayer and add a rule for dashboard: 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.
dashboard is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the dashboard 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 dashboard. 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.
dashboard 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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