update_label · Todoist MCP Server MCP: Risk & Policy

WHAT IT DOES

What update_label does on Todoist MCP Server

AI agents use update_label to create or update resources in Todoist MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todoist MCP Server environment.

WHY IT NEEDS A POLICY

Why update_label needs a policy

This tool updates (modifies) label properties, which is a reversible write operation. Labels are metadata/organizational elements with no financial impact or data destruction. While the description is empty (lowering confidence slightly), the tool name and sibling operations confirm it falls under Write category.

From the tool's definition Tool named 'update_label' with no description, but from context: server manages task, project, section, label, and comment management; sibling tools include 'add_label' and 'batch_update_labels', indicating standard CRUD operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_label Rate-limited

update_label stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_label": {
      "limits": [
        {
          "counter": "update_label_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Todoist MCP Server, so you can run agents against it safely.

FAQ

Questions about update_label

What does the update_label tool do? +

update_label. It is categorised as a Write tool in the Todoist MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_label? +

Register the Todoist MCP Server MCP server in PolicyLayer and add a rule for update_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.

What risk level is update_label? +

update_label is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_label? +

Yes. Add a rate_limit block to the update_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.

How do I block update_label completely? +

Set action: deny in the PolicyLayer policy for update_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.

What MCP server provides update_label? +

update_label is provided by the Todoist MCP Server MCP server (oauthbringer/todoist-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.