获取聊天记录
AI agents call get_chatlog to retrieve information from Chatlog MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and accesses chat log data without modifying, deleting, or executing operations. It falls squarely into the Read category as a query/fetch operation. Severity is low because exposure of this tool allows an AI agent to retrieve chat data, which is a data access risk rather than a destructive, financial, or execution risk. High confidence due to clear retrieval semantics in name and description.
From the tool's definition Tool name 'get_chatlog' and description '获取聊天记录' (get chat logs) indicate retrieval of existing chat message data.
Attacks that exploit this kind of access
获取聊天记录. It is categorised as a Read tool in the Chatlog MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Chatlog MCP Server MCP server in PolicyLayer and add a rule for get_chatlog: 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 Chatlog MCP Server. Nothing to install.
get_chatlog 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_chatlog 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_chatlog. 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_chatlog is provided by the Chatlog MCP Server MCP server (yhai3596/mcp-chatlog). 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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