AI agents call ai_analyze_intent to retrieve information from Kali Security MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs analysis and provides suggestions based on user input. There is no indication of executing code, modifying data, deleting data, or moving money. It is purely informational—retrieving and analyzing user intent to offer guidance. This is characteristic of a Read operation, with low severity since misuse would only result in incorrect analysis rather than system compromise or data loss.
From the tool's definition Tool name 'ai_analyze_intent' and description 'AI意图分析 - 分析用户输入并提供智能建议' (AI intent analysis - analyzes user input and provides intelligent suggestions) indicates this is an analytical/advisory tool that processes input and returns analysis or recommendations…
Documented attack patterns abuse exactly the kind of access ai_analyze_intent gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali Security MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for ai_analyze_intent:
{
"version": "1",
"default": "deny",
"tools": {
"ai_analyze_intent": {}
}
}ai_analyze_intent is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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AI意图分析 - 分析用户输入并提供智能建议. It is categorised as a Read tool in the Kali Security MCP MCP Server, which means it retrieves data without modifying state.
Register the Kali Security MCP server in PolicyLayer and add a rule for ai_analyze_intent: 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 Kali Security MCP. Nothing to install.
ai_analyze_intent 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 ai_analyze_intent 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 ai_analyze_intent. 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.
ai_analyze_intent is provided by the Kali Security MCP server (seac-25/kali-security-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 249 Kali Security MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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249 Kali Security MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.