Start a multi-agent team on a complex goal (research, multi-step analysis, code work). Runs in the BACKGROUND and returns a job id immediately — ack to the user, then check crow_orchestrate_status on a later turn.
AI agents invoke crow_orchestrate 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.
This tool executes arbitrary multi-agent workflows in the background based on user-supplied goals. The effects are dependent on the arguments (the goal specified) and the tool can trigger code execution, data analysis, and external integrations across the platform's 20+ connected services.
From the tool's definition Tool description explicitly states: 'Start a multi-agent team on a complex goal (research, multi-step analysis, code work)' and 'Runs in the BACKGROUND'. The verbs 'Start' and 'Runs' indicate execution of external operations.
Documented attack patterns abuse exactly the kind of access crow_orchestrate 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_orchestrate:
{
"version": "1",
"default": "deny",
"tools": {
"crow_orchestrate": {
"limits": [
{
"counter": "crow_orchestrate_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} crow_orchestrate 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.
Free to start. No card required.
Start a multi-agent team on a complex goal (research, multi-step analysis, code work). Runs in the BACKGROUND and returns a job id immediately — ack to the user, then check crow_orchestrate_status on a later turn. 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_orchestrate: 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_orchestrate 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_orchestrate 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_orchestrate. 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_orchestrate 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.