High Risk →

app_interact

Universal form filler and button clicker. fields: list of values, button: button text hint.

How to control app_interact ↓

What app_interact does on Browser-Debugger

AI agents invoke app_interact to trigger actions in Browser-Debugger. 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.

High Risk

Why app_interact needs a policy

This tool performs browser interactions by filling forms and clicking buttons, which are external operations with effects entirely dependent on arguments. It can trigger any action a user could — submitting forms, authenticating, purchasing, deleting data — making it high severity due to wide blast radius if misused by an AI agent.

From the tool's definition Universal form filler and button clicker. fields: list of values, button: button text hint.

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

How to control app_interact

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "app_interact": {
      "limits": [
        {
          "counter": "app_interact_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

app_interact 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.

  1. Create a free account and register Browser-Debugger — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about app_interact

What does the app_interact tool do? +

Universal form filler and button clicker. fields: list of values, button: button text hint. It is categorised as a Execute tool in the Browser-Debugger MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on app_interact? +

Register the Browser-Debugger MCP server in PolicyLayer and add a rule for app_interact: 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 Browser-Debugger. Nothing to install.

What risk level is app_interact? +

app_interact is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit app_interact? +

Yes. Add a rate_limit block to the app_interact 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 app_interact completely? +

Set action: deny in the PolicyLayer policy for app_interact. 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 app_interact? +

app_interact is provided by the Browser-Debugger MCP server (selvadinesh-giga/mcp-based-browser-debug-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Browser-Debugger tool call.

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

Free to start. No card required.

14 Browser-Debugger tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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