approve_memory
A write tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/approve-memory.md
What approve_memory does on Mapi Agent Memory
AI agents use approve_memory 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 approve_memory is rated Medium
The tool appears to approve or finalize memory state changes based on name and server governance context, making it a Write operation (reversible state modification). However, confidence is moderate because the description is empty and 'approve' could theoretically be read-only (returning approval status).
From the tool's definition Tool name 'approve_memory' suggests modification/approval of memory state; server context emphasizes governance and auditable memory for AI agents; sibling tools include 'apply_approved_memory_consolidation_proposal' and 'apply_conflict_resolution',…
Attacks that exploit this kind of access
The rule that runs approve_memory 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 approve_memory, this is the rule to start with:
approve_memory 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 approve_memory call is checked against it from then on.
Questions about approve_memory
approve_memory 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 approve_memory: 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.
approve_memory 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 approve_memory 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 approve_memory. 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.
approve_memory 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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