apply_memory_capture_reconciliation
Atomically apply one approved Memory v3 capture reconciliation preview.
This record as markdown: /tools/mapi-agent-memory/apply-memory-capture-reconciliation.md
What apply_memory_capture_reconciliation does on Mapi Agent Memory
AI agents use apply_memory_capture_reconciliation 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 apply_memory_capture_reconciliation is rated Medium
This tool performs atomic application of reconciliation logic to AI agent memory systems. While 'apply' suggests execution, the core function is modifying memory state based on a pre-approved reconciliation preview—a data transformation rather than triggering external operations or deleting data. The atomic nature and auditable context (per server description) indicate reversible modification.
From the tool's definition The tool atomically applies an 'approved Memory v3 capture reconciliation preview,' which modifies memory state through a reconciliation operation.
Attacks that exploit this kind of access
The rule that runs apply_memory_capture_reconciliation 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 apply_memory_capture_reconciliation, this is the rule to start with:
apply_memory_capture_reconciliation 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 apply_memory_capture_reconciliation call is checked against it from then on.
Questions about apply_memory_capture_reconciliation
Atomically apply one approved Memory v3 capture reconciliation preview. 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 apply_memory_capture_reconciliation: 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.
apply_memory_capture_reconciliation 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 apply_memory_capture_reconciliation 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 apply_memory_capture_reconciliation. 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.
apply_memory_capture_reconciliation 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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