Recover a failed or stale delegated Cursor task by relaunching it with the latest shared context.
AI agents invoke cursor_recover_task to trigger actions in Agent Orchestration. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool re-executes a previously failed task by relaunching it, which constitutes triggering an external operation. The 'relaunching' action is an Execute-category operation. Severity is medium because misuse could cause unintended task re-execution or resource consumption, but the blast radius is limited to the task/agent coordination scope.
From the tool's definition 'Recover a failed or stale delegated Cursor task by relaunching it with the latest shared context'
Documented attack patterns abuse exactly the kind of access cursor_recover_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_recover_task:
{
"version": "1",
"default": "deny",
"tools": {
"cursor_recover_task": {
"limits": [
{
"counter": "cursor_recover_task_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} cursor_recover_task stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Recover a failed or stale delegated Cursor task by relaunching it with the latest shared context. It is categorised as a Execute tool in the Agent Orchestration MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for cursor_recover_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_recover_task is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the cursor_recover_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_recover_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_recover_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.
Free to start. No card required.
35 Agent Orchestration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.