Use this when the user is ready to link a YouTube channel to one Dynamoi artist from chat. This returns a Google OAuth URL bound to the signed-in user and artist. Google returns to a Dynamoi page that tells the user to come back to the AI assistant; after that, poll dynamoi_get_platform_status wi...
Part of the Dynamoi server.
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AI agents invoke dynamoi_start_youtube_channel_link to trigger processes or run actions in Dynamoi. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
dynamoi_start_youtube_channel_link can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"dynamoi_start_youtube_channel_link": {
"limits": [
{
"counter": "dynamoi_start_youtube_channel_link_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Dynamoi policy for all 22 tools.
These attack patterns abuse exactly the kind of access dynamoi_start_youtube_channel_link gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Use this when the user is ready to link a YouTube channel to one Dynamoi artist from chat. This returns a Google OAuth URL bound to the signed-in user and artist. Google returns to a Dynamoi page that tells the user to come back to the AI assistant; after that, poll dynamoi_get_platform_status with the returned onboardingAttemptId and onboardingFlow=youtube until platforms.youtube.connected is true.. It is categorised as a Execute tool in the Dynamoi MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Dynamoi MCP server in PolicyLayer and add a rule for dynamoi_start_youtube_channel_link: 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 Dynamoi. Nothing to install.
dynamoi_start_youtube_channel_link 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 dynamoi_start_youtube_channel_link 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 dynamoi_start_youtube_channel_link. 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.
dynamoi_start_youtube_channel_link is provided by the Dynamoi MCP server (getDynamoi/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 Dynamoi tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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