add_label

add_label

Server Todoist MCP Server oauthbringer/todoist-mcp
Category Write
Risk class Medium
Parameters 00 required

What add_label does on Todoist MCP Server

AI agents use add_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 add_label needs a policy

This tool creates or adds a new label in Todoist, which is a reversible write operation. It does not delete, execute code, move money, or have destructive effects. The blast radius is minimal—a mislabeled item can be corrected or the label removed. Severity is low because label operations are administrative and non-critical to core task data integrity.

From the tool's definition Tool name is 'add_label'; server description indicates it 'Enables task, project, section, label, and comment management' with support for operations. The 'add_' prefix indicates creation/addition of data.

Questions about add_label

What does the add_label tool do? +

add_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 add_label? +

Register the Todoist MCP Server MCP server in PolicyLayer and add a rule for add_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 add_label? +

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

Can I rate-limit add_label? +

Yes. Add a rate_limit block to the add_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 add_label completely? +

Set action: deny in the PolicyLayer policy for add_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 add_label? +

add_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.

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