reject_memory_consolidation_proposal
Reject a consolidation proposal by changing review-state only.
This record as markdown: /tools/mapi-agent-memory/reject-memory-consolidation-proposal.md
What reject_memory_consolidation_proposal does on Mapi Agent Memory
AI agents use reject_memory_consolidation_proposal 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 reject_memory_consolidation_proposal is rated Medium
This tool modifies the state of a memory consolidation proposal (from pending/proposed to rejected), which is a write operation. It does not delete data (would be Destructive), does not execute external operations (would be Execute), and does not move money (would be Financial).
From the tool's definition Tool description states it changes review-state, which modifies data. The word 'Reject' combined with 'changing review-state only' indicates a reversible state transition rather than deletion or approval execution.
Attacks that exploit this kind of access
The rule that runs reject_memory_consolidation_proposal 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 reject_memory_consolidation_proposal, this is the rule to start with:
reject_memory_consolidation_proposal 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 reject_memory_consolidation_proposal call is checked against it from then on.
Questions about reject_memory_consolidation_proposal
Reject a consolidation proposal by changing review-state only. 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 reject_memory_consolidation_proposal: 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.
reject_memory_consolidation_proposal 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 reject_memory_consolidation_proposal 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 reject_memory_consolidation_proposal. 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.
reject_memory_consolidation_proposal 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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