revise_polaris_onboarding
Revise one draft answer while the onboarding summary is awaiting confirmation.
This record as markdown: /tools/mapi-agent-memory/revise-polaris-onboarding.md
What revise_polaris_onboarding does on Mapi Agent Memory
AI agents call revise_polaris_onboarding 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 revise_polaris_onboarding is rated Low
Even though revise_polaris_onboarding only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs revise_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 revise_polaris_onboarding, this is the rule to start with:
revise_polaris_onboarding 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 revise_polaris_onboarding call is checked against it from then on.
Questions about revise_polaris_onboarding
Revise one draft answer while the onboarding summary is awaiting confirmation. 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 revise_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.
revise_polaris_onboarding 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 revise_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 revise_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.
revise_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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