AI agents use complete_task to create or update resources in XiaozhiMCP-MapNAVI — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your XiaozhiMCP-MapNAVI environment.
This tool modifies data (marks a task as complete) but does not irreversibly delete it. The operation is reversible—tasks can typically be uncompleted in Todoist. This fits the Write category (creates or modifies data reversibly) rather than Destructive. Severity is medium because misuse could cause workflow disruption or false task completion, but the impact is localized to a user's task list and reversible.
From the tool's definition Tool name 'complete_task' and description 'Complete a Todoist task' indicate modification of task state from incomplete to complete, which is a reversible write operation (the task can be reopened or recreated).
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 XiaozhiMCP-MapNAVI, 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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Complete a Todoist task. It is categorised as a Write tool in the XiaozhiMCP-MapNAVI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the XiaozhiMCP-MapNAVI 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 XiaozhiMCP-MapNAVI. 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 XiaozhiMCP-MapNAVI MCP server (rickeylaiii/xiaoai_mapmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from XiaozhiMCP-MapNAVI, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 XiaozhiMCP-MapNAVI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.