memory_end_session

memory_end_session

Server Junto Memory tlemmons/junto-memory
Category Read
Risk class Low
Parameters 00 required

What memory_end_session does on Junto Memory

AI agents call memory_end_session to retrieve information from Junto Memory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why memory_end_session needs a policy

Even though memory_end_session only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about memory_end_session

What does the memory_end_session tool do? +

memory_end_session. It is categorised as a Read tool in the Junto Memory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_end_session? +

Register the Junto Memory MCP server in PolicyLayer and add a rule for memory_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 Junto Memory. Nothing to install.

What risk level is memory_end_session? +

memory_end_session is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_end_session? +

Yes. Add a rate_limit block to the memory_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.

How do I block memory_end_session completely? +

Set action: deny in the PolicyLayer policy for memory_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.

What MCP server provides memory_end_session? +

memory_end_session is provided by the Junto Memory MCP server (tlemmons/junto-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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