end_session
End a session and trigger failure distillation if the session outcome was a failure
This record as markdown: /tools/danielsimonjr-memory-mcp/end-session.md
What end_session does on Enhanced Knowledge Graph Memory Server
AI agents invoke end_session to trigger actions in Enhanced Knowledge Graph Memory Server. 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.
Why end_session is rated High
This tool performs an action (ending a session) and triggers a downstream process (failure distillation). It is not purely reading data, nor does it clearly delete/destroy data irreversibly. It executes an operational workflow — ending a session and conditionally triggering distillation logic — making Execute the most appropriate category.
From the tool's definition End a session and trigger failure distillation if the session outcome was a failure
Attacks that exploit this kind of access
The rule that runs end_session safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For end_session, this is the rule to start with:
end_session 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every end_session call is checked against it from then on.
Questions about end_session
End a session and trigger failure distillation if the session outcome was a failure. It is categorised as a Execute tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for end_session: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.
end_session 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 end_session 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 end_session. 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.
end_session is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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