List all tasks currently delegated to Cursor, including last known status and session metadata.
AI agents call cursor_list_delegations to retrieve information from Agent Orchestration without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries information about delegated tasks and their metadata without modifying, executing, or deleting anything. The verb 'list' combined with 'including...status and session metadata' confirms it is a read-only operation that gathers data. No irreversible actions, code execution, or financial implications are present.
From the tool's definition Tool name 'cursor_list_delegations' and description 'List all tasks currently delegated to Cursor, including last known status and session metadata' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access cursor_list_delegations 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_list_delegations:
{
"version": "1",
"default": "deny",
"tools": {
"cursor_list_delegations": {}
}
} cursor_list_delegations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all tasks currently delegated to Cursor, including last known status and session metadata. It is categorised as a Read tool in the Agent Orchestration MCP Server, which means it retrieves data without modifying state.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for cursor_list_delegations: 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_list_delegations is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the cursor_list_delegations 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_list_delegations. 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_list_delegations 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.