normalize_project_scope
Normalize one active project memory from global/default scope to project scope and record an audit event.
This record as markdown: /tools/mapi-agent-memory/normalize-project-scope.md
What normalize_project_scope does on Mapi Agent Memory
AI agents use normalize_project_scope 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 normalize_project_scope is rated Medium
This tool modifies how a memory entry is scoped (from global/default to project scope) and writes an audit event. This is a reversible modification of existing data, fitting the Write category. It does not delete data or execute arbitrary code. Severity is medium because miscategorizing memory scope could affect AI agent behavior across a project.
From the tool's definition Normalize one active project memory from global/default scope to project scope and record an audit event.
Attacks that exploit this kind of access
The rule that runs normalize_project_scope 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 normalize_project_scope, this is the rule to start with:
normalize_project_scope 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 normalize_project_scope call is checked against it from then on.
Questions about normalize_project_scope
Normalize one active project memory from global/default scope to project scope and record an audit event. 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 normalize_project_scope: 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.
normalize_project_scope 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 normalize_project_scope 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 normalize_project_scope. 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.
normalize_project_scope 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.
More on Mapi Agent Memory, and thousands of servers like it.
This server
Across the catalogue