explain_conflict
A read tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/explain-conflict.md
What explain_conflict does on Mapi Agent Memory
AI agents call explain_conflict to retrieve information from Mapi Agent Memory without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why explain_conflict is rated Low
The naming pattern ('explain') and context (governance/auditing for AI agent memory) suggest this tool queries or analyzes conflict data for review purposes rather than applying changes, executing code, or deleting data. The empty description creates uncertainty, warranting lower confidence. Classified as Read pending clarification of actual implementation.
From the tool's definition Tool name 'explain_conflict' suggests retrieval or analysis of conflict information. The empty description prevents definitive classification; however, the verb 'explain' typically indicates a read operation that retrieves and presents existing data rather…
Attacks that exploit this kind of access
The rule that runs explain_conflict 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 explain_conflict, this is the rule to start with:
explain_conflict is read-only, so it stays allowed. 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 explain_conflict call is checked against it from then on.
Questions about explain_conflict
explain_conflict is a read tool on the Mapi Agent Memory MCP server. It is categorised as a Read tool in the Mapi Agent Memory MCP Server, which means it retrieves data without modifying state.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for explain_conflict: 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.
explain_conflict is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the explain_conflict 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 explain_conflict. 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.
explain_conflict 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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