configure_triggers

THE RISK

Medium Risk

Why configure_triggers needs a policy

The tool modifies trigger settings which are configuration data. This is reversible (settings can be reconfigured) and creates/modifies state rather than permanently destroying it or executing arbitrary code. It falls into Write rather than Execute because it configures *when* automation happens rather than directly executing operations.

From the tool's definition Tool name 'configure_triggers' and description 'Configure automatic trigger settings' indicate modification of system settings that control when automated actions execute. This is a Write operation as it modifies configuration state.

Documented attack patterns abuse exactly the kind of access configure_triggers gives an agent:

POLICY

How to control configure_triggers

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 configure_triggers:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "configure_triggers": {
      "limits": [
        {
          "counter": "configure_triggers_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

configure_triggers 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.

Create a free account and register SAM — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about configure_triggers

What does the configure_triggers tool do? +

Configure automatic trigger settings. 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.

How do I enforce a policy on configure_triggers? +

Register the SAM MCP server in PolicyLayer and add a rule for configure_triggers: 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 configure_triggers? +

configure_triggers is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit configure_triggers? +

Yes. Add a rate_limit block to the configure_triggers 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 configure_triggers completely? +

Set action: deny in the PolicyLayer policy for configure_triggers. 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 configure_triggers? +

configure_triggers 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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