AI agents use close_item 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.
Closing an item modifies its state (likely marking complete or archived) but appears reversible based on sibling tools like 'advance_status' that suggest workflow state management. This is Write rather than Destructive because closure is typically a status change, not irreversible deletion.
From the tool's definition Tool name 'close_item' indicates state modification of a kanban board item. Sibling tools include 'advance_status', 'edit_item', and 'delete_item', establishing this server's pattern of reversible item manipulation.
Documented attack patterns abuse exactly the kind of access close_item 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 close_item:
{
"version": "1",
"default": "deny",
"tools": {
"close_item": {
"limits": [
{
"counter": "close_item_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}close_item 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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close_item. 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 close_item: 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.
close_item 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 close_item 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 close_item. 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.
close_item 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.