AI agents call get_agent to retrieve information from AI Cognitive Nexus without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read-only query to obtain configuration data about an agent. It follows the 'get' pattern characteristic of Read operations. No data is created, modified, deleted, or executed. The Chinese description '获取指定角色的配置信息' translates to 'retrieve configuration information for a specified role', confirming this is a safe retrieval operation.
From the tool's definition Tool name is 'get_agent' and description states it retrieves/fetches ('获取') configuration information for a specified role. This is a pure data retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_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 get_agent:
{
"version": "1",
"default": "deny",
"tools": {
"get_agent": {}
}
}get_agent is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取指定角色的配置信息。. It is categorised as a Read tool in the AI Cognitive Nexus MCP Server, which means it retrieves data without modifying state.
Register the AI Cognitive Nexus MCP server in PolicyLayer and add a rule for get_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.
get_agent 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 get_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 get_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.
get_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.
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22 AI Cognitive Nexus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.