AI agents use update_agent to create or update resources in AI Cognitive Nexus — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AI Cognitive Nexus environment.
The tool modifies agent configuration or state without deleting data, placing it in the Write category. Severity is high because in a multi-agent orchestration system, updating agent properties (persona, knowledge, behavior, permissions) could be misused to compromise agent behavior, inject malicious instructions, or escalate privileges—affecting the entire agent team's execution.
From the tool's definition update_agent: Tool updates existing agent information ('更新一个已存在角色的信息' = 'Update information of an existing role'). This is a reversible modification operation.
Documented attack patterns abuse exactly the kind of access update_agent 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 update_agent:
{
"version": "1",
"default": "deny",
"tools": {
"update_agent": {
"limits": [
{
"counter": "update_agent_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_agent 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.
Free to start. No card required.
更新一个已存在角色的信息。. It is categorised as a Write tool in the AI Cognitive Nexus MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AI Cognitive Nexus MCP server in PolicyLayer and add a rule for update_agent: 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.
update_agent 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 update_agent 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 update_agent. 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.
update_agent 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.