collab_session_end
Fence future session mutations and remove the credential file. Live leases must be resolved first; incoming offers expire as an audited refusal.
This record as markdown: /tools/dev-agenttool-agenttool/collab-session-end.md
What collab_session_end does on Agenttool
AI agents call collab_session_end to permanently remove resources in Agenttool, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why collab_session_end is rated Critical
An AI agent that decides to call collab_session_end doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Agenttool is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs collab_session_end safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agenttool, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For collab_session_end, this is the rule to start with:
collab_session_end is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Agenttool, apply this rule, and every collab_session_end call is checked against it from then on.
Questions about collab_session_end
Fence future session mutations and remove the credential file. Live leases must be resolved first; incoming offers expire as an audited refusal. It is categorised as a Destructive tool in the Agenttool MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Agenttool MCP server in PolicyLayer and add a rule for collab_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 Agenttool. Nothing to install.
collab_session_end is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the collab_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.
Set action: deny in the PolicyLayer policy for collab_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.
collab_session_end is provided by the Agenttool MCP server (https://api.agenttool.dev/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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