AI agents use add_comment to create or update resources in Todoist — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todoist environment.
Adding a comment creates new data in the Todoist system but is reversible (comments can be deleted) and has no destructive or financial implications. It does not execute arbitrary code or trigger external operations. This is clearly a Write operation with low severity since comments are typically low-impact metadata additions to tasks.
From the tool's definition Tool name is 'add_comment' and description states 'Add a comment to a task' — this creates new comment data on an existing task in a reversible manner.
Attacks that exploit this kind of access
Add a comment to a task. It is categorised as a Write tool in the Todoist MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Todoist MCP server in PolicyLayer and add a rule for add_comment: 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. Nothing to install.
add_comment 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 add_comment 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 add_comment. 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.
add_comment is provided by the Todoist MCP server (kpanko/todoist-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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