Refresh a delegated Cursor task, sync the latest provider status, and persist knowledge back into shared memory.
AI agents use cursor_sync_task to create or update resources in Agent Orchestration — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Orchestration environment.
The tool modifies shared state by persisting knowledge back into shared memory and updating task/provider status. This is a reversible write operation — it synchronizes and updates data rather than deleting it or executing arbitrary code. Misuse could corrupt shared agent memory or task coordination state, warranting medium severity.
From the tool's definition Refresh a delegated Cursor task, sync the latest provider status, and persist knowledge back into shared memory
Documented attack patterns abuse exactly the kind of access cursor_sync_task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Orchestration, and nothing reaches the server without passing your rules. This is the rule we recommend for cursor_sync_task:
{
"version": "1",
"default": "deny",
"tools": {
"cursor_sync_task": {
"limits": [
{
"counter": "cursor_sync_task_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} cursor_sync_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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Refresh a delegated Cursor task, sync the latest provider status, and persist knowledge back into shared memory. It is categorised as a Write tool in the Agent Orchestration MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for cursor_sync_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 Agent Orchestration. Nothing to install.
cursor_sync_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 cursor_sync_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 cursor_sync_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.
cursor_sync_task is provided by the Agent Orchestration MCP server (madebyaris/agent-orchestration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Orchestration, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Agent Orchestration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.