Analyze message for auto-triggers using ML model
AI agents call analyze_message to retrieve information from SAM without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs analysis (reading/inspection) of messages to detect auto-trigger patterns. It retrieves or processes message data to generate insights, with no modification, deletion, or external execution. The capability to understand message content for trigger detection is a Read operation. While it informs downstream automation, the tool itself only reads and analyzes.
From the tool's definition Tool name and description: 'Analyze message for auto-triggers using ML model' — the verb 'analyze' indicates inspection and evaluation without modification. No side effects, no data creation, deletion, or external execution mentioned.
Documented attack patterns abuse exactly the kind of access analyze_message 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 analyze_message:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_message": {}
}
}analyze_message is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze message for auto-triggers using ML model. It is categorised as a Read tool in the SAM MCP Server, which means it retrieves data without modifying state.
Register the SAM MCP server in PolicyLayer and add a rule for analyze_message: 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.
analyze_message is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_message 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 analyze_message. 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.
analyze_message 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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37 SAM tools catalogued and risk-classified — across an index of 43,000+ MCP servers.