AI agents use complete_task 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.
Completing a task modifies data (task status) without permanent destruction. While it changes state, it remains reversible — tasks can be marked incomplete again. This is a Write-category operation rather than Destructive, as the task itself is not removed from the system.
From the tool's definition Tool description states 'Complete a task' — this marks a task as complete/done, modifying its state reversibly.
Attacks that exploit this kind of access
Complete 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 complete_task: 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.
complete_task 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 complete_task 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 complete_task. 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.
complete_task is provided by the Todoist MCP server (stevengonsalvez/mcp-todoist). 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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