advance_polaris_onboarding
Save one onboarding draft answer. Final summary confirmation atomically commits the reviewed profile.
This record as markdown: /tools/mapi-agent-memory/advance-polaris-onboarding.md
What advance_polaris_onboarding does on Mapi Agent Memory
AI agents use advance_polaris_onboarding 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 advance_polaris_onboarding is rated Medium
An AI agent can call advance_polaris_onboarding faster than any human can review: one bad instruction and it creates or modifies resources in Mapi Agent Memory by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs advance_polaris_onboarding 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 advance_polaris_onboarding, this is the rule to start with:
advance_polaris_onboarding 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 advance_polaris_onboarding call is checked against it from then on.
Questions about advance_polaris_onboarding
Save one onboarding draft answer. Final summary confirmation atomically commits the reviewed profile. 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 advance_polaris_onboarding: 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.
advance_polaris_onboarding 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 advance_polaris_onboarding 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 advance_polaris_onboarding. 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.
advance_polaris_onboarding 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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