Translate assignee references into suggested member IDs for tasks.
Part of the Clickup server.
Free to start. No card required.
AI agents use task_assignee_resolve to create or modify resources in Clickup. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call task_assignee_resolve repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Clickup.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"task_assignee_resolve": {
"limits": [
{
"counter": "task_assignee_resolve_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Clickup policy for all 41 tools.
These attack patterns abuse exactly the kind of access task_assignee_resolve gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Translate assignee references into suggested member IDs for tasks.. It is categorised as a Write tool in the Clickup MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Clickup MCP server in PolicyLayer and add a rule for task_assignee_resolve: 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 Clickup. Nothing to install.
task_assignee_resolve 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 task_assignee_resolve 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 task_assignee_resolve. 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.
task_assignee_resolve is provided by the Clickup MCP server (@taazkareem/clickup-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 41 Clickup tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.