Retrieve Todoist tasks with flexible filtering options. Can filter by project, section, labels, or use custom Todoist filter queries. Returns a comprehensive list of tasks with their metadata including content, description, project assignment, due dates, priority levels, labels, completion status...
AI agents call get_tasks to retrieve information from Todoist MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries task data without creating, modifying, deleting, or executing operations. It has no side effects on the system state. While it may return sensitive metadata about tasks (dates, priorities, labels), the read-only nature and absence of any write/destructive operations place it firmly in the Read category with low severity—the main risk is information disclosure if unauthorized access…
From the tool's definition Tool description explicitly states it 'Retrieve[s] Todoist tasks' and 'Returns a comprehensive list of tasks' with no mention of modification, deletion, or side effects. The verb 'Retrieve' and passive data retrieval pattern confirm read-only behavior.
Documented attack patterns abuse exactly the kind of access get_tasks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Todoist MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_tasks:
{
"version": "1",
"default": "deny",
"tools": {
"get_tasks": {}
}
} get_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve Todoist tasks with flexible filtering options. Can filter by project, section, labels, or use custom Todoist filter queries. Returns a comprehensive list of tasks with their metadata including content, description, project assignment, due dates, priority levels, labels, completion status, and hierarchy information. Without filters, returns all tasks accessible to the authenticated user. It is categorised as a Read tool in the Todoist MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Todoist MCP Server MCP server in PolicyLayer and add a rule for get_tasks: 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 MCP Server. Nothing to install.
get_tasks 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 get_tasks 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 get_tasks. 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.
get_tasks is provided by the Todoist MCP Server MCP server (koki-develop/todoist-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Todoist MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 Todoist MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.