AI agents invoke record_user_action to trigger actions in Mcp Windows. 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.
The name suggests capturing or logging user actions (possibly keystrokes, clicks, or screen activity), which is an Execute-level operation with high potential for misuse (surveillance, credential capture). However, the empty description significantly lowers confidence. On a Windows automation server with broad system control capabilities, this tool likely records user input or screen state.
From the tool's definition Tool name 'record_user_action' on a server described as providing 200+ automation tools for system control; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access record_user_action gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Windows, and nothing reaches the server without passing your rules. This is the rule we recommend for record_user_action:
{
"version": "1",
"default": "deny",
"tools": {
"record_user_action": {
"limits": [
{
"counter": "record_user_action_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}record_user_action 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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record_user_action. It is categorised as a Execute tool in the Mcp Windows MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Windows MCP server in PolicyLayer and add a rule for record_user_action: 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 Windows. Nothing to install.
record_user_action 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 record_user_action 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 record_user_action. 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.
record_user_action is provided by the Mcp Windows MCP server (mukul975/mcp-windows-automation). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 441 Mcp Windows tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
441 Mcp Windows tools catalogued and risk-classified — across an index of 42,500+ MCP servers.