Manually trigger automatic analysis of conversation
AI agents invoke trigger_auto_analysis to trigger actions in SAM. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an automated analysis pipeline on conversation data. While it does not directly modify or delete data, it triggers external ML processes whose outcomes—what gets extracted, analyzed, and potentially stored—depend on the conversation content and system state.
From the tool's definition Tool name 'trigger_auto_analysis' combined with description 'Manually trigger automatic analysis of conversation' indicates execution of an automated process.
Documented attack patterns abuse exactly the kind of access trigger_auto_analysis 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 trigger_auto_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"trigger_auto_analysis": {
"limits": [
{
"counter": "trigger_auto_analysis_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} trigger_auto_analysis stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Manually trigger automatic analysis of conversation. It is categorised as a Execute tool in the SAM MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the SAM MCP server in PolicyLayer and add a rule for trigger_auto_analysis: 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.
trigger_auto_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the trigger_auto_analysis 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 trigger_auto_analysis. 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.
trigger_auto_analysis 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.
Free to start. No card required.
37 SAM tools catalogued and risk-classified — across an index of 43,000+ MCP servers.