AI agents invoke type_text to trigger actions in Tauri Plugin. 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.
Typing text into a page is an input simulation action that triggers side effects in the target application (form fills, search queries, commands, etc.). It falls under Execute as it simulates user input with effects that depend on the target element and content. The description is truncated but the tool name and partial description clearly indicate input simulation, a core Execute-category action.
From the tool's definition Types text into the page — simulates keyboard input into a running Tauri application, triggering external UI interactions
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 Tauri Plugin, 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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Types text into the page. Three modes: (1) Provide. It is categorised as a Execute tool in the Tauri Plugin MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tauri Plugin 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 Tauri Plugin. 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 Tauri Plugin MCP server (p3gleg/tauri-plugin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 Tauri Plugin tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
13 Tauri Plugin tools catalogued and risk-classified — across an index of 42,500+ MCP servers.