AI agents invoke team_wake to trigger actions in Iris MCP. 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 triggers an external operation — activating/starting a process in a process pool. It causes a side effect (process startup) that is not merely reading data or writing a record, making Execute the most appropriate category. Misuse could spawn unintended processes across project environments.
From the tool's definition Wake up a team by ensuring its process is active in the pool
Attacks that exploit this kind of access
Wake up a team by ensuring its process is active in the pool. It is categorised as a Execute tool in the Iris MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Iris MCP server in PolicyLayer and add a rule for team_wake: 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 Iris MCP. Nothing to install.
team_wake 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 team_wake 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 team_wake. 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.
team_wake is provided by the Iris MCP server (jenova-marie/iris-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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