Routes AI data to the correct agent_memory.db table.
AI agents use log_activity to create or update resources in M3 Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your M3 Memory environment.
The tool writes/routes data into a database table, which is a create/modify operation. It stores AI activity data persistently in agent_memory.db. Misuse could result in data poisoning or corruption of the memory layer, but effects appear reversible. Confidence is moderate because the description is vague about what 'routing' entails and whether it could overwrite existing records.
From the tool's definition Routes AI data to the correct agent_memory.db table
Documented attack patterns abuse exactly the kind of access log_activity gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and M3 Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for log_activity:
{
"version": "1",
"default": "deny",
"tools": {
"log_activity": {
"limits": [
{
"counter": "log_activity_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}log_activity 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.
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Routes AI data to the correct agent_memory.db table. It is categorised as a Write tool in the M3 Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the M3 Memory MCP server in PolicyLayer and add a rule for log_activity: 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 M3 Memory. Nothing to install.
log_activity 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 log_activity 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 log_activity. 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.
log_activity is provided by the M3 Memory MCP server (skynetcmd/m3-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from M3 Memory, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
43 M3 Memory tools catalogued and risk-classified — across an index of 43,000+ MCP servers.