sandman_memory_chat
Sandman Memory Chat — host steruje narzędziami MAPI dla lokalnego modelu.
This record as markdown: /tools/mapi-agent-memory/sandman-memory-chat.md
What sandman_memory_chat does on Mapi Agent Memory
AI agents invoke sandman_memory_chat to trigger actions in Mapi Agent Memory. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why sandman_memory_chat is rated High
The description indicates this tool acts as a controller/orchestrator that drives MAPI tools on behalf of a local model. This implies it can trigger arbitrary tool executions depending on arguments passed.
From the tool's definition 'host steruje narzędziami MAPI dla lokalnego modelu' — the host controls/steers MAPI tools for a local model, implying orchestration and execution of tool operations
Attacks that exploit this kind of access
The rule that runs sandman_memory_chat 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 sandman_memory_chat, this is the rule to start with:
sandman_memory_chat stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 sandman_memory_chat call is checked against it from then on.
Questions about sandman_memory_chat
Sandman Memory Chat — host steruje narzędziami MAPI dla lokalnego modelu. It is categorised as a Execute tool in the Mapi Agent Memory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for sandman_memory_chat: 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.
sandman_memory_chat is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sandman_memory_chat 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 sandman_memory_chat. 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.
sandman_memory_chat 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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