AI agents use advance_status to create or update resources in Kanban — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kanban environment.
Based on the name alone, this tool likely transitions a kanban item's status (e.g., from 'todo' to 'in-progress'). This is a reversible modification of data, placing it in the Write category. Confidence is low due to empty description, but the status change is likely reversible (can be moved back), so not Destructive. Medium severity as misuse could disrupt workflow tracking across projects.
From the tool's definition Tool name 'advance_status' suggests moving an item to the next status in a workflow; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access advance_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kanban, and nothing reaches the server without passing your rules. This is the rule we recommend for advance_status:
{
"version": "1",
"default": "deny",
"tools": {
"advance_status": {
"limits": [
{
"counter": "advance_status_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}advance_status 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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advance_status. It is categorised as a Write tool in the Kanban MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kanban MCP server in PolicyLayer and add a rule for advance_status: 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 Kanban. Nothing to install.
advance_status 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 advance_status 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 advance_status. 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.
advance_status is provided by the Kanban MCP server (multidimensionalcats/kanban-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kanban, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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45 Kanban tools catalogued and risk-classified — across an index of 43,000+ MCP servers.