memory_start_extraction_job

THE RISK

High Risk

Why memory_start_extraction_job needs a policy

This tool appears to start a potentially long-running memory extraction job, which is an Execute category action—it triggers an external operation with side effects that cannot be trivially reversed or predicted without knowing the extraction target. The 'high' severity reflects that uncontrolled job extraction could access sensitive data in memory (secrets, credentials, private information).

From the tool's definition Tool name 'memory_start_extraction_job' indicates it initiates a job that extracts memory content. The empty description is uninformative, but the action verb 'start' paired with 'extraction_job' suggests triggering an external operation whose effects depend…

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

POLICY

How to control memory_start_extraction_job

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

policy.json

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

memory_start_extraction_job 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 AWS Support 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 →

Free to start. No card required.

EXPLORE

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FAQ

Questions about memory_start_extraction_job

What does the memory_start_extraction_job tool do? +

memory_start_extraction_job. It is categorised as a Execute tool in the AWS Support 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 memory_start_extraction_job? +

Register the AWS Support MCP Server MCP server in PolicyLayer and add a rule for memory_start_extraction_job: 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 Support MCP Server. Nothing to install.

What risk level is memory_start_extraction_job? +

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

Can I rate-limit memory_start_extraction_job? +

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

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

memory_start_extraction_job is provided by the AWS Support MCP Server MCP server (awslabs.aws-support-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 Support MCP Server tool call.

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

CHECK YOUR STACK →