Approve a memory candidate from the governance review queue.
AI agents use memory.inbox_approve to create or update resources in Lore Context — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Lore Context environment.
The tool modifies data by approving a memory candidate, moving it from a review queue to an approved state. This is a reversible write operation (approval can typically be revoked or the memory managed), not a read (no retrieval indicated), not destructive (no irreversible deletion), not execute (no code/command execution), not financial.
From the tool's definition Tool name 'memory.inbox_approve' and description 'Approve a memory candidate from the governance review queue' indicates a state-changing action that modifies governance records by accepting/storing a memory item.
Attacks that exploit this kind of access
Approve a memory candidate from the governance review queue. It is categorised as a Write tool in the Lore Context MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Lore Context MCP server in PolicyLayer and add a rule for memory.inbox_approve: 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 Lore Context. Nothing to install.
memory.inbox_approve 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 memory.inbox_approve 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 memory.inbox_approve. 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.
memory.inbox_approve is provided by the Lore Context MCP server (Lore-Context/lore-context). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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