Universal form filler and button clicker. fields: list of values, button: button text hint.
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.
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:
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:
{
"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.
Free to start. No card required.
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.
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.
app_interact 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 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.
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.
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.
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.