High Risk →

form_input

Set values in form elements using element reference ID from the read_page tool.

How to control form_input ↓

AI agents invoke form_input to trigger actions in OpenChrome. 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

This tool performs a write/execute action in a live browser by setting values in form elements. While it resembles a 'write' operation, it triggers browser-side interactions (DOM manipulation, potential event listeners, form submission side effects) that constitute external operations in a real Chrome browser.

From the tool's definition "Set values in form elements" — actively manipulates browser form state using element reference IDs obtained from page reads

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

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

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

form_input 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 OpenChrome — 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 →

Free to start. No card required.

Go deeper

What does the form_input tool do? +

Set values in form elements using element reference ID from the read_page tool. It is categorised as a Execute tool in the OpenChrome MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on form_input? +

Register the OpenChrome MCP server in PolicyLayer and add a rule for form_input: 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 OpenChrome. Nothing to install.

What risk level is form_input? +

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

Can I rate-limit form_input? +

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

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

form_input is provided by the OpenChrome MCP server (shaun0927/openchrome). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OpenChrome tool call.

Deterministic rules across all 106 OpenChrome tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

106 OpenChrome tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.