preview_memory_steward_session_close

Build an explicit session-close checkpoint proposal without persistence.

SERVERMapi Agent Memory SOURCEcabo0m/mapi-agent-memory

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/mapi-agent-memory/preview-memory-steward-session-close.md

WHAT IT DOES

What preview_memory_steward_session_close does on Mapi Agent Memory

AI agents use preview_memory_steward_session_close to create or update resources in Mapi Agent Memory, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mapi Agent Memory environment.

RISK

Why preview_memory_steward_session_close is rated Medium

An AI agent can call preview_memory_steward_session_close faster than any human can review: one bad instruction and it creates or modifies resources in Mapi Agent Memory by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs preview_memory_steward_session_close safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mapi Agent Memory, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For preview_memory_steward_session_close, this is the rule to start with:

preview_memory_steward_session_close Rate-limited

preview_memory_steward_session_close 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "preview_memory_steward_session_close": {
      "limits": [
        {
          "counter": "preview_memory_steward_session_close_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mapi Agent Memory, apply this rule, and every preview_memory_steward_session_close call is checked against it from then on.

FAQ

Questions about preview_memory_steward_session_close

What does the preview_memory_steward_session_close tool do? +

Build an explicit session-close checkpoint proposal without persistence. It is categorised as a Write tool in the Mapi Agent Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on preview_memory_steward_session_close? +

Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for preview_memory_steward_session_close: 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 Mapi Agent Memory. Nothing to install.

What risk level is preview_memory_steward_session_close? +

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

Can I rate-limit preview_memory_steward_session_close? +

Yes. Add a rate_limit block to the preview_memory_steward_session_close 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 preview_memory_steward_session_close completely? +

Set action: deny in the PolicyLayer policy for preview_memory_steward_session_close. 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 preview_memory_steward_session_close? +

preview_memory_steward_session_close is provided by the Mapi Agent Memory MCP server (cabo0m/mapi-agent-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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