Retrieve a specific personal label by its unique ID with complete metadata including name, color, order, and favorite status. Returns detailed information about the requested label for use in task organization and filtering. Requires a valid label ID that belongs to the authenticated user.
AI agents call get_label 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 only queries and retrieves metadata about an existing label (name, color, order, favorite status). It has no side effects, does not modify data, and does not trigger external operations. It is a straightforward read operation that retrieves information for filtering and organization purposes.
From the tool's definition Tool name is 'get_label' and description states it 'Retrieve[s] a specific personal label' and 'Returns detailed information' with no mention of modification, deletion, or execution of operations. The word 'Retrieve' explicitly indicates a read operation.
Documented attack patterns abuse exactly the kind of access get_label 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_label:
{
"version": "1",
"default": "deny",
"tools": {
"get_label": {}
}
}get_label is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve a specific personal label by its unique ID with complete metadata including name, color, order, and favorite status. Returns detailed information about the requested label for use in task organization and filtering. Requires a valid label ID that belongs 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_label: 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_label 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_label 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_label. 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_label 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.