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sam_local_invoke

sam_local_invoke

How to control sam_local_invoke ↓

What sam_local_invoke does on AWS Labs Aurora DSQL MCP Server

AI agents invoke sam_local_invoke to trigger actions in AWS Labs Aurora DSQL 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.

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Why sam_local_invoke needs a policy

Although the description is empty, the tool name strongly suggests local execution of serverless functions. This is an Execute category tool because it triggers external operations (Lambda function execution) whose effects depend on the function code and arguments.

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

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

How to control sam_local_invoke

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Aurora DSQL 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.

  1. Create a free account and register AWS Labs Aurora DSQL MCP Server — 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 →

Free to start. No card required.

Related tools and policies

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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 AWS Labs Aurora DSQL 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 AWS Labs Aurora DSQL 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 AWS Labs Aurora DSQL 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 AWS Labs Aurora DSQL MCP Server MCP server (awslabs.aurora-dsql-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 AWS Labs Aurora DSQL MCP Server tool call.

Start from AWS Labs Aurora DSQL MCP Server, 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.

805 AWS Labs Aurora DSQL MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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