Modify the properties of an existing personal label. Allows you to change the label
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.
Updating a label is a write operation that modifies data reversibly. While labels are organizational metadata rather than primary task data, their modification can affect task filtering and organization across projects. The medium severity reflects that misuse could clutter or mislabel tasks, but changes are reversible via further updates or deletion.
From the tool's definition Tool description states 'Modify the properties of an existing personal label' and 'change the label', indicating reversible modifications to label data without deletion.
Documented attack patterns abuse exactly the kind of access update_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 update_label:
{
"version": "1",
"default": "deny",
"tools": {
"update_label": {
"limits": [
{
"counter": "update_label_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} 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.
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Modify the properties of an existing personal label. Allows you to change the 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.
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.
update_label is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
update_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.
Free to start. No card required.
32 Todoist MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.