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trigger_auto_analysis

Manually trigger automatic analysis of conversation

How to control trigger_auto_analysis ↓

What trigger_auto_analysis does on SAM

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.

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Why trigger_auto_analysis needs a policy

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:

How to control trigger_auto_analysis

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:

policy.json
{
  "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.

  1. Create a free account and register SAM — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about trigger_auto_analysis

What does the trigger_auto_analysis tool do? +

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.

How do I enforce a policy on trigger_auto_analysis? +

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.

What risk level is trigger_auto_analysis? +

trigger_auto_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit trigger_auto_analysis? +

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.

How do I block trigger_auto_analysis completely? +

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.

What MCP server provides trigger_auto_analysis? +

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.

Enforce policy on every SAM tool call.

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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37 SAM tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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