Get information about your current agent identity.
AI agents call agent_whoami to retrieve information from Agent Orchestration without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation to retrieve information about the calling agent's identity. It has no side effects, does not create, modify, or delete data, and does not execute external operations or transfer funds. The blast radius of misuse is minimal—an agent could learn its own identity, which poses no security risk.
From the tool's definition Tool name 'agent_whoami' and description 'Get information about your current agent identity' indicate a query operation that retrieves identity information without modifying any state.
Documented attack patterns abuse exactly the kind of access agent_whoami 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_whoami:
{
"version": "1",
"default": "deny",
"tools": {
"agent_whoami": {}
}
} agent_whoami is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get information about your current agent identity. It is categorised as a Read tool in the Agent Orchestration MCP Server, which means it retrieves data without modifying state.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for agent_whoami: 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_whoami is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the agent_whoami 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_whoami. 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_whoami 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.
Free to start. No card required.
35 Agent Orchestration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.