Type text into the focused element via page.keyboard.type.
AI agents invoke humanizer_type to trigger actions in Proxy. 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 triggers a browser keyboard action (typing text into a focused element), which is an external browser operation with effects that depend on the arguments. It could be used to input data into forms, authentication fields, or other interactive elements, making it an Execute-category tool within the MITM proxy/browser automation context.
From the tool's definition Type text into the focused element via page.keyboard.type
Documented attack patterns abuse exactly the kind of access humanizer_type gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Proxy, and nothing reaches the server without passing your rules. This is the rule we recommend for humanizer_type:
{
"version": "1",
"default": "deny",
"tools": {
"humanizer_type": {
"limits": [
{
"counter": "humanizer_type_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} humanizer_type 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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Type text into the focused element via page.keyboard.type. It is categorised as a Execute tool in the Proxy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Proxy MCP server in PolicyLayer and add a rule for humanizer_type: 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 Proxy. Nothing to install.
humanizer_type 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 humanizer_type 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 humanizer_type. 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.
humanizer_type is provided by the Proxy MCP server (yfe404/proxy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Proxy, 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.
89 Proxy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.