bootstrap_agent_context
Restore MAPI's core identity and current continuity anchors.
This record as markdown: /tools/mapi-agent-memory/bootstrap-agent-context.md
What bootstrap_agent_context does on Mapi Agent Memory
AI agents call bootstrap_agent_context 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 bootstrap_agent_context is rated Low
'Restore' implies reading/loading previously stored identity and context data back into the agent's working state. This is fundamentally a read/fetch operation. However, there is some ambiguity — 'restore' could imply overwriting current state, which might have side effects. Confidence is moderate because the description is brief and 'restore' can sometimes imply a write-like operation.
From the tool's definition 'Restore MAPI's core identity and current continuity anchors' — retrieves/loads existing state rather than creating or modifying data
Attacks that exploit this kind of access
The rule that runs bootstrap_agent_context 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 bootstrap_agent_context, this is the rule to start with:
bootstrap_agent_context 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 bootstrap_agent_context call is checked against it from then on.
Questions about bootstrap_agent_context
Restore MAPI's core identity and current continuity anchors. 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 bootstrap_agent_context: 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.
bootstrap_agent_context 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 bootstrap_agent_context 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 bootstrap_agent_context. 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.
bootstrap_agent_context 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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