AI agents use set_parent 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.
Setting a parent relationship modifies item hierarchy/structure reversibly without deletion. This is a Write action (modifies data state), not Destructive (irreversible deletion) or Execute (arbitrary code). The medium severity reflects potential for organizational confusion if misused by an agent, but changes are reversible via 'add_relationship' or 'edit_item'.
From the tool's definition Tool name 'set_parent' suggests modifying a parent-child relationship in kanban board items. Sibling tools like 'add_relationship' and 'edit_item' confirm this server performs data modifications. The description is empty, limiting certainty.
Documented attack patterns abuse exactly the kind of access set_parent 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 set_parent:
{
"version": "1",
"default": "deny",
"tools": {
"set_parent": {
"limits": [
{
"counter": "set_parent_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} set_parent 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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set_parent. 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 set_parent: 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.
set_parent 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 set_parent 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 set_parent. 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.
set_parent 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.