Mark a task as complete. Args: project_id: ID of the project task_id: ID of the task
AI agents use complete_task to create or update resources in Ticktick — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ticktick environment.
The tool creates a state change in the task management system that is reversible—marking a task complete does not delete data, execute arbitrary code, or trigger irreversible consequences. This is a standard Write operation.
From the tool's definition Tool description states 'Mark a task as complete.' This modifies task state from incomplete to complete, which is a reversible operation (tasks can be marked incomplete again).
Documented attack patterns abuse exactly the kind of access complete_task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ticktick, and nothing reaches the server without passing your rules. This is the rule we recommend for complete_task:
{
"version": "1",
"default": "deny",
"tools": {
"complete_task": {
"limits": [
{
"counter": "complete_task_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}complete_task 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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Mark a task as complete. Args: project_id: ID of the project task_id: ID of the task. It is categorised as a Write tool in the Ticktick MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ticktick 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 Ticktick. 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 Ticktick MCP server (jacepark12/ticktick-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ticktick, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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22 Ticktick tools catalogued and risk-classified — across an index of 43,000+ MCP servers.