AI agents invoke type_text to trigger actions in Chrome Debug MCP 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.
This tool types text into a browser context, which constitutes a browser action/interaction. It can be used to fill forms, enter credentials, submit data, or interact with web applications in ways that trigger external operations. As part of a browser automation suite (alongside click, navigate_to, etc.), misuse could lead to submitting forms, entering sensitive data, or automating unintended web interactions.
From the tool's definition 'type_text' - 输入文本内容 (input text content); part of a browser automation server that performs actions in Chrome via debugging port
Documented attack patterns abuse exactly the kind of access type_text gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chrome Debug MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for type_text:
{
"version": "1",
"default": "deny",
"tools": {
"type_text": {
"limits": [
{
"counter": "type_text_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}type_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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输入文本内容. It is categorised as a Execute tool in the Chrome Debug MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome Debug MCP Server MCP server in PolicyLayer and add a rule for type_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 Chrome Debug MCP Server. Nothing to install.
type_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 type_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 type_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.
type_text is provided by the Chrome Debug MCP Server MCP server (rainmen-xia/chrome-debug-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chrome Debug MCP 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.
10 Chrome Debug MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.