flow_status

THE RISK

Low Risk

Why flow_status needs a policy

This tool performs status checking and monitoring only. It queries and reports existing state without creating, modifying, deleting, or executing any operations. This is a purely informational read operation with minimal blast radius if misused by an AI agent.

From the tool's definition Tool description states 'Check current connection status' - a query operation with no side effects. It retrieves state information (browser connected, Flow page loaded, account verified, job queue state) without modifying or triggering any actions.

Documented attack patterns abuse exactly the kind of access flow_status gives an agent:

POLICY

How to control flow_status

PolicyLayer is an MCP gateway — it sits between your AI agents and Google Flow Browser MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for flow_status:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "flow_status": {}
  }
}

flow_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Google Flow Browser MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Google Flow Browser MCP tools

Financial flow_generate_image ⚠️ CES IMAGES CONSOMMENT DES CRÉDITS. Par défaut (auto_confirm=false): remplit le prompt, Execute flow_connect Launch Chrome with the configured Google profile, connect CDP, navigate to Google Flow, an Execute flow_disconnect Close the browser and clean up the MCP connection to Google Flow. Execute flow_discover_ui Navigate to a Google Flow page and discover all interactive elements (buttons, inputs, lin Execute flow_generate_video Set up a video generation in Google Flow. Fills prompt, selects Omni Flash or Veo model, c Execute flow_use_grid_architect Open Grid Architect in Google Flow, fill theme prompt, shot prompts, engine, ratio, and vi Execute flow_use_tool Open any tool by name in Google Flow and optionally fill its configuration parameters. Write flow_create_character Create a new character in Google Flow Characters with name and description.

All 17 Google Flow Browser MCP tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about flow_status

What does the flow_status tool do? +

Check current connection status: browser connected, Flow page loaded, account verified, job queue state. It is categorised as a Read tool in the Google Flow Browser MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on flow_status? +

Register the Google Flow Browser MCP server in PolicyLayer and add a rule for flow_status: 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 Google Flow Browser MCP. Nothing to install.

What risk level is flow_status? +

flow_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit flow_status? +

Yes. Add a rate_limit block to the flow_status 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.

How do I block flow_status completely? +

Set action: deny in the PolicyLayer policy for flow_status. 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.

What MCP server provides flow_status? +

flow_status is provided by the Google Flow Browser MCP server (tmsss05/google-flow-browser-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Flow Browser MCP tool call.

Start from Google Flow Browser MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →