AI agents use save_prompt to create or update resources in Learnlog — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Learnlog environment.
This is a Write operation—it creates and persistently stores new data (user prompts and notes) in a local database without modification of existing records or irreversible deletion. Severity is medium because while data is stored permanently, the stored content is user educational metadata rather than critical system data, financial records, or system-level configurations.
From the tool's definition Tool name 'save_prompt' and description indicate it 'saves learning-related questions or notes' (Korean: '학습 관련 질문이나 메모를 저장합니다'). The function creates and stores new records of user prompts/notes.
Attacks that exploit this kind of access
학습 관련 질문이나 메모를 저장합니다. 사용 방법: 1. 자동 저장: AI가 사용자의 학습 관련 질문을 인식하여 자동으로 저장 2. 수동 저장: 사용자가. It is categorised as a Write tool in the Learnlog MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Learnlog MCP server in PolicyLayer and add a rule for save_prompt: 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 Learnlog. Nothing to install.
save_prompt is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_prompt 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 save_prompt. 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.
save_prompt is provided by the Learnlog MCP server (yujaeyun/learnlog-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.
Teams ship this data inside their own products. See what a licence covers →