AI agents invoke run_ai_team to trigger actions in AI Cognitive Nexus. 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 execution of complex multi-agent workflows with side effects that cannot be predicted statically—the AI team will perform actions based on injected domain knowledge, role-based personas, and structured task execution. While not immediately destructive or financial, it executes arbitrary AI-driven business logic orchestrated across multiple agents, making it Execute rather than Write.
From the tool's definition Tool description states 'run_ai_team' executes (运行) a specified AI team (指定的AI团队) to conduct business discussions (开展业务讨论).
Documented attack patterns abuse exactly the kind of access run_ai_team gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AI Cognitive Nexus, and nothing reaches the server without passing your rules. This is the rule we recommend for run_ai_team:
{
"version": "1",
"default": "deny",
"tools": {
"run_ai_team": {
"limits": [
{
"counter": "run_ai_team_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}run_ai_team 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.
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运行指定的AI团队开展业务讨论。请注意这个环节需要耗费较长的时间，请告知用户耐心等待. It is categorised as a Execute tool in the AI Cognitive Nexus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AI Cognitive Nexus MCP server in PolicyLayer and add a rule for run_ai_team: 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 AI Cognitive Nexus. Nothing to install.
run_ai_team 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 run_ai_team 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 run_ai_team. 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.
run_ai_team is provided by the AI Cognitive Nexus MCP server (simonutd/ai-cognitive-nexus-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AI Cognitive Nexus, 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.
22 AI Cognitive Nexus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.