读取RawMemory的文本内容，支持原始数据读取和智能摘要模式。
AI agents call readRawLines to retrieve information from ThinkMem without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries stored memory data without side effects. It supports two read modes but neither involves creating, modifying, deleting, or executing operations. It is a pure data retrieval utility, fitting the Read category with low severity since misuse would only expose information without causing damage or changes to the system.
From the tool's definition Tool name 'readRawLines' and description indicates reading ('读取' means 'read' in Chinese) text content from RawMemory storage. No modification, deletion, or execution capabilities mentioned.
Documented attack patterns abuse exactly the kind of access readRawLines gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ThinkMem, and nothing reaches the server without passing your rules. This is the rule we recommend for readRawLines:
{
"version": "1",
"default": "deny",
"tools": {
"readRawLines": {}
}
}readRawLines is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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读取RawMemory的文本内容，支持原始数据读取和智能摘要模式。. It is categorised as a Read tool in the ThinkMem MCP Server, which means it retrieves data without modifying state.
Register the ThinkMem MCP server in PolicyLayer and add a rule for readRawLines: 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 ThinkMem. Nothing to install.
readRawLines 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 readRawLines 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 readRawLines. 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.
readRawLines is provided by the ThinkMem MCP server (rickonono3/thinkmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ThinkMem, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 ThinkMem tools catalogued and risk-classified — across an index of 43,000+ MCP servers.