sam_local_invoke | PolicyLayer

WHAT IT DOES

What sam_local_invoke does on CloudWatch Application Signals MCP Server

AI agents invoke sam_local_invoke to trigger actions in CloudWatch Application Signals MCP Server. 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.

THE RISK

High Risk

Why sam_local_invoke needs a policy

This tool executes serverless application code locally, which is an Execute category action. While local execution has a narrower blast radius than remote execution, it still runs arbitrary code whose effects depend on the function being invoked and its arguments. The absence of a description lowers confidence slightly, but the naming pattern clearly indicates code execution capability.

From the tool's definition Tool name 'sam_local_invoke' indicates invocation of AWS SAM (Serverless Application Model) functions locally. The verb 'invoke' combined with 'sam_local' suggests execution of code or Lambda functions.

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

POLICY

How to control sam_local_invoke

PolicyLayer is an MCP gateway — it sits between your AI agents and CloudWatch Application Signals MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for sam_local_invoke:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sam_local_invoke": {
      "limits": [
        {
          "counter": "sam_local_invoke_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

sam_local_invoke 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.

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

RATE-LIMIT THIS TOOL →

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EXPLORE

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FAQ

Questions about sam_local_invoke

What does the sam_local_invoke tool do? +

sam_local_invoke. It is categorised as a Execute tool in the CloudWatch Application Signals MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sam_local_invoke? +

Register the CloudWatch Application Signals MCP Server MCP server in PolicyLayer and add a rule for sam_local_invoke: 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 CloudWatch Application Signals MCP Server. Nothing to install.

What risk level is sam_local_invoke? +

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

Can I rate-limit sam_local_invoke? +

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

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

sam_local_invoke is provided by the CloudWatch Application Signals MCP Server MCP server (awslabs.cloudwatch-applicationsignals-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CloudWatch Application Signals MCP Server tool call.

Start from CloudWatch Application Signals MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 CloudWatch Application Signals MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.