Accept an assigned task, signaling that work will begin. Updates task status to accepted.
AI agents use cortex_task_accept to create or update resources in Cortex Hub — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cortex Hub environment.
This tool modifies task state by updating its status to 'accepted'. This is a reversible state change (write operation) with low blast radius — it only signals intent to begin work and does not execute code, delete data, or involve financial transactions.
From the tool's definition Accept an assigned task, signaling that work will begin. Updates task status to accepted.
Documented attack patterns abuse exactly the kind of access cortex_task_accept gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cortex Hub, and nothing reaches the server without passing your rules. This is the rule we recommend for cortex_task_accept:
{
"version": "1",
"default": "deny",
"tools": {
"cortex_task_accept": {
"limits": [
{
"counter": "cortex_task_accept_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} cortex_task_accept 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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Accept an assigned task, signaling that work will begin. Updates task status to accepted. It is categorised as a Write tool in the Cortex Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cortex Hub MCP server in PolicyLayer and add a rule for cortex_task_accept: 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 Cortex Hub. Nothing to install.
cortex_task_accept 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 cortex_task_accept 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 cortex_task_accept. 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.
cortex_task_accept is provided by the Cortex Hub MCP server (lktiep/cortex-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Cortex Hub, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 Cortex Hub tools catalogued and risk-classified — across an index of 43,000+ MCP servers.