Input text into a specific element on the page.
AI agents invoke input_text to trigger actions in MCP Web Browser Server. 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.
Inputting text into page elements is a browser action that can have wide-ranging external effects depending on the target element — from filling in search boxes to entering payment details or credentials. It goes beyond a simple read or write, as it drives live browser interactions with potentially irreversible external consequences.
From the tool's definition 'Input text into a specific element on the page' — triggers a browser interaction that modifies the state of a live web page element, which can cause external side effects (e.g., submitting forms, triggering search queries, entering credentials, initiating…
Documented attack patterns abuse exactly the kind of access input_text gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Web Browser Server, and nothing reaches the server without passing your rules. This is the rule we recommend for input_text:
{
"version": "1",
"default": "deny",
"tools": {
"input_text": {
"limits": [
{
"counter": "input_text_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} input_text 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.
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Input text into a specific element on the page. It is categorised as a Execute tool in the MCP Web Browser Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Web Browser Server MCP server in PolicyLayer and add a rule for input_text: 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 MCP Web Browser Server. Nothing to install.
input_text 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 input_text 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 input_text. 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.
input_text is provided by the MCP Web Browser Server MCP server (random-robbie/mcp-web-browser). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Web Browser Server, 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.
6 MCP Web Browser Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.