在Get笔记知识库中召回相关内容,返回未经AI处理的原始结果。可用于快速查找和预览。
AI agents call knowledge_recall to retrieve information from Get笔记 MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a retrieval/query operation that searches and fetches data from a knowledge base without side effects. The emphasis on 'raw results' and 'preview' indicates read-only access. No destructive, write, execute, or financial capabilities are mentioned.
From the tool's definition Tool performs 'recall of relevant content' (召回相关内容) from knowledge base with 'raw unprocessed results' (未经AI处理的原始结果).
Attacks that exploit this kind of access
在Get笔记知识库中召回相关内容,返回未经AI处理的原始结果。可用于快速查找和预览。. It is categorised as a Read tool in the Get笔记 MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Get笔记 MCP Server MCP server in PolicyLayer and add a rule for knowledge_recall: 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 Get笔记 MCP Server. Nothing to install.
knowledge_recall 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 knowledge_recall 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 knowledge_recall. 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.
knowledge_recall is provided by the Get笔记 MCP Server MCP server (pancrepal-xiaoyibao/get_biji_mcp). 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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