rollout_owner_catalog_to_project
A write tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/rollout-owner-catalog-to-project.md
What rollout_owner_catalog_to_project does on Mapi Agent Memory
AI agents use rollout_owner_catalog_to_project 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 rollout_owner_catalog_to_project is rated Medium
The name implies a write/deploy operation — rolling out catalog data to a project. This would create or update records in the project context. However, the description is empty and uninformative, which significantly reduces confidence. Given sibling tools involve memory governance, lifecycle management, and consolidation, this tool likely writes or applies catalog ownership data.
From the tool's definition Tool name 'rollout_owner_catalog_to_project' suggests deploying or propagating an owner catalog to a project scope.
Attacks that exploit this kind of access
The rule that runs rollout_owner_catalog_to_project 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 rollout_owner_catalog_to_project, this is the rule to start with:
rollout_owner_catalog_to_project 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 rollout_owner_catalog_to_project call is checked against it from then on.
Questions about rollout_owner_catalog_to_project
rollout_owner_catalog_to_project is a write tool on the Mapi Agent Memory MCP server. 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 rollout_owner_catalog_to_project: 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.
rollout_owner_catalog_to_project 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 rollout_owner_catalog_to_project 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 rollout_owner_catalog_to_project. 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.
rollout_owner_catalog_to_project 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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