Log collaboration activities in a Repl
AI agents use log_collaboration to create or update resources in SAM — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your SAM environment.
The tool logs/records collaboration activities, which is a write operation (creating log entries). It does not execute code, delete data, or involve financial transactions. Logging is reversible and low blast radius. Confidence is moderate because the description is brief and lacks detail about what 'log' entails beyond recording activity.
From the tool's definition Log collaboration activities in a Repl
Documented attack patterns abuse exactly the kind of access log_collaboration gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SAM, and nothing reaches the server without passing your rules. This is the rule we recommend for log_collaboration:
{
"version": "1",
"default": "deny",
"tools": {
"log_collaboration": {
"limits": [
{
"counter": "log_collaboration_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}log_collaboration 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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Log collaboration activities in a Repl. It is categorised as a Write tool in the SAM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the SAM MCP server in PolicyLayer and add a rule for log_collaboration: 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 SAM. Nothing to install.
log_collaboration 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_collaboration 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_collaboration. 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_collaboration is provided by the SAM MCP server (pigrieco/mcp-memory-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SAM, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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