record_event
AI agents use record_event to create or update resources in MemoryMesh — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MemoryMesh environment.
With no description available, classification relies solely on the tool name. 'record_event' strongly implies writing/creating a new event entry into the local memory index. Given sibling tools like 'forget_memory', 'pin_memory', and 'graph_memory', this server manages a personal knowledge graph, and 'record_event' likely adds an event to that graph — a Write operation.
From the tool's definition Tool name 'record_event' and empty description. The name suggests creating/writing a new event record to the memory system.
Attacks that exploit this kind of access
record_event. It is categorised as a Write tool in the MemoryMesh MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MemoryMesh MCP server in PolicyLayer and add a rule for record_event: 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 MemoryMesh. Nothing to install.
record_event 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 record_event 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 record_event. 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.
record_event is provided by the MemoryMesh MCP server (kilhubprojects/memory-mesh). 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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