根據對話上下文和客戶特徵推薦相關知識。 可根據 Big Five 人格特質和健康分數進行個人化推薦： - openness: 開放性（高=喜歡延伸資訊，低=只要核心答案） - conscientiousness: 盡責性（高=詳細步驟，低=簡潔重點） - extraversion: 外向性 - agreeableness: 親和性 - neuroticism: 神經質（高=需要更多安撫） 健康分數 0-100，低分客戶需要更多關懷
AI agents call recommend_knowledge to retrieve information from EKMS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads from the EKMS to retrieve and recommend knowledge items tailored to user profiles. It performs semantic matching and ranking based on personality and health metrics but does not create, modify, delete, or execute any operations.
From the tool's definition Tool name is 'recommend_knowledge' and description states it 'recommends relevant knowledge' (推薦相關知識) based on conversation context and customer characteristics.
Attacks that exploit this kind of access
根據對話上下文和客戶特徵推薦相關知識。 可根據 Big Five 人格特質和健康分數進行個人化推薦： - openness: 開放性（高=喜歡延伸資訊，低=只要核心答案） - conscientiousness: 盡責性（高=詳細步驟，低=簡潔重點） - extraversion: 外向性 - agreeableness: 親和性 - neuroticism: 神經質（高=需要更多安撫） 健康分數 0-100，低分客戶需要更多關懷. It is categorised as a Read tool in the EKMS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the EKMS MCP Server MCP server in PolicyLayer and add a rule for recommend_knowledge: 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 EKMS MCP Server. Nothing to install.
recommend_knowledge 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 recommend_knowledge 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 recommend_knowledge. 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.
recommend_knowledge is provided by the EKMS MCP Server MCP server (jihsin/ekms-mcp-server). 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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