Register this agent with the orchestration system. Call this at the start of your session.
AI agents use agent_register to create or update resources in Agent Orchestration — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Orchestration environment.
This tool creates a new agent entry in the shared orchestration system, which is a reversible Write operation (the sibling tool 'agent_unregister' confirms this is undoable). It does not execute code or delete data, so Write is the appropriate category.
From the tool's definition The tool performs 'register' which creates or modifies a new agent record in the orchestration system's memory/state. The description explicitly states 'Register this agent' indicating data creation.
Documented attack patterns abuse exactly the kind of access agent_register gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Orchestration, and nothing reaches the server without passing your rules. This is the rule we recommend for agent_register:
{
"version": "1",
"default": "deny",
"tools": {
"agent_register": {
"limits": [
{
"counter": "agent_register_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} agent_register stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Register this agent with the orchestration system. Call this at the start of your session. It is categorised as a Write tool in the Agent Orchestration MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for agent_register: 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 Agent Orchestration. Nothing to install.
agent_register is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the agent_register 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 agent_register. 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.
agent_register is provided by the Agent Orchestration MCP server (madebyaris/agent-orchestration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Orchestration, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Agent Orchestration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.