列出待办事项
AI agents call list_todos to retrieve information from MCP Reminder without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries todo list data with no side effects. It matches the Read category profile: it fetches and displays pending tasks without creating, modifying, deleting, or executing external operations. The low severity reflects minimal blast radius—misuse would only expose existing user todo data.
From the tool's definition Tool name 'list_todos' and description '列出待办事项' (list todo items) indicate a retrieval operation that queries existing todo data without modification or deletion.
Attacks that exploit this kind of access
列出待办事项. It is categorised as a Read tool in the MCP Reminder MCP Server, which means it retrieves data without modifying state.
Register the MCP Reminder MCP server in PolicyLayer and add a rule for list_todos: 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 MCP Reminder. Nothing to install.
list_todos 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 list_todos 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 list_todos. 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.
list_todos is provided by the MCP Reminder MCP server (sheacoding/mcp-reminder). 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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