Medium Risk

cortex_session_end

Close a session with a summary of work done. Reports session duration and compliance.

How to control cortex_session_end ↓

What cortex_session_end does on Cortex Hub

AI agents use cortex_session_end 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.

Medium Risk

Why cortex_session_end needs a policy

This tool closes/finalizes a session and records a summary, duration, and compliance report. It writes session metadata/state to the platform. It does not delete data irreversibly, execute code, or move money. The blast radius is low — misuse would at worst create an inaccurate session record.

From the tool's definition Close a session with a summary of work done. Reports session duration and compliance.

Documented attack patterns abuse exactly the kind of access cortex_session_end gives an agent:

How to control cortex_session_end

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_session_end:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "cortex_session_end": {
      "limits": [
        {
          "counter": "cortex_session_end_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

cortex_session_end 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.

  1. Create a free account and register Cortex Hub — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about cortex_session_end

What does the cortex_session_end tool do? +

Close a session with a summary of work done. Reports session duration and compliance. 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.

How do I enforce a policy on cortex_session_end? +

Register the Cortex Hub MCP server in PolicyLayer and add a rule for cortex_session_end: 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.

What risk level is cortex_session_end? +

cortex_session_end is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit cortex_session_end? +

Yes. Add a rate_limit block to the cortex_session_end 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.

How do I block cortex_session_end completely? +

Set action: deny in the PolicyLayer policy for cortex_session_end. 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.

What MCP server provides cortex_session_end? +

cortex_session_end 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.

Enforce policy on every Cortex Hub tool call.

Start from Cortex Hub, 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.

25 Cortex Hub tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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