AI agents call list_todos to retrieve information from Mcp Todo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool purely queries and retrieves existing todo data with optional filtering parameters. It has no side effects—no data is created, modified, deleted, or executed. This is a straightforward Read operation with minimal security risk.
From the tool's definition Tool name is 'list_todos' and description translates to 'retrieves a schedule/task list with optional filtering by category or date' (일정 목록을 조회합니다 = retrieve schedule list; 필터링 = filtering). No creation, modification, deletion, or execution described.
Attacks that exploit this kind of access
일정 목록을 조회합니다. 카테고리나 날짜로 필터링할 수 있습니다. It is categorised as a Read tool in the Mcp Todo MCP Server, which means it retrieves data without modifying state.
Register the Mcp Todo 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 Todo. 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 Todo MCP server (moon-daeseung/mcp-todo). 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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