Confirm the user
AI agents invoke crow_glasses_confirm_continuous_recording to trigger actions in Crow. 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 tool name references confirming continuous recording on what appears to be smart glasses or a wearable device. Confirming/starting a persistent recording session is an ongoing external operation with significant privacy implications.
From the tool's definition 'confirm_continuous_recording' — implies triggering or confirming an ongoing recording operation on a device (glasses/wearable)
Documented attack patterns abuse exactly the kind of access crow_glasses_confirm_continuous_recording gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_glasses_confirm_continuous_recording:
{
"version": "1",
"default": "deny",
"tools": {
"crow_glasses_confirm_continuous_recording": {
"limits": [
{
"counter": "crow_glasses_confirm_continuous_recording_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} crow_glasses_confirm_continuous_recording 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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Confirm the user. It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Crow MCP server in PolicyLayer and add a rule for crow_glasses_confirm_continuous_recording: 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 Crow. Nothing to install.
crow_glasses_confirm_continuous_recording 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 crow_glasses_confirm_continuous_recording 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 crow_glasses_confirm_continuous_recording. 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.
crow_glasses_confirm_continuous_recording is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, 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.
576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.