AI agents call find_tasks_by_date to retrieve information from Todoist without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries task data based on date criteria and returns results. It has no side effects—it does not create, modify, delete, or execute any actions. The lowest blast radius applies: even if an AI misuses this tool, the worst outcome is retrieving unintended task data, which does not damage systems or data integrity.
From the tool's definition The tool name 'find_tasks_by_date' and description 'Find tasks due on or between dates' indicate a query/search operation that retrieves data without modification.
Attacks that exploit this kind of access
Find tasks due on or between dates. It is categorised as a Read tool in the Todoist MCP Server, which means it retrieves data without modifying state.
Register the Todoist MCP server in PolicyLayer and add a rule for find_tasks_by_date: 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 Todoist. Nothing to install.
find_tasks_by_date 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 find_tasks_by_date 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 find_tasks_by_date. 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.
find_tasks_by_date is provided by the Todoist MCP server (kpanko/todoist-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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