archive_conversation
A write tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/archive-conversation.md
What archive_conversation does on Mapi Agent Memory
AI agents use archive_conversation 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.
Why archive_conversation is rated Medium
Archiving typically involves moving or marking data as inactive/archived rather than deleting it, making it a Write operation (reversible modification). It has medium severity because archiving conversations could hide audit trails or historical context important to governance, and misuse could obstruct compliance or memory integrity.
From the tool's definition Tool name 'archive_conversation' indicates a write operation that modifies conversation state/storage by archiving (changing accessibility or organization of data).
Attacks that exploit this kind of access
The rule that runs archive_conversation 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 archive_conversation, this is the rule to start with:
archive_conversation 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mapi Agent Memory, apply this rule, and every archive_conversation call is checked against it from then on.
Questions about archive_conversation
archive_conversation is a write tool on the Mapi Agent Memory MCP server. 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.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for archive_conversation: 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.
archive_conversation is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the archive_conversation 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 archive_conversation. 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.
archive_conversation 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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