memory_list_extraction_jobs

THE RISK

Low Risk

Why memory_list_extraction_jobs needs a policy

The tool appears to retrieve or enumerate extraction job objects from memory/storage, which is a Read operation (list/query with no side effects). However, the empty description and unclear purpose lower confidence.

From the tool's definition Tool name 'memory_list_extraction_jobs' suggests listing or querying extraction jobs; the suffix 'list' and 'extraction_jobs' indicate data retrieval without modification. Description is empty, reducing confidence.

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

POLICY

How to control memory_list_extraction_jobs

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_list_extraction_jobs": {}
  }
}

memory_list_extraction_jobs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon Redshift 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.

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about memory_list_extraction_jobs

What does the memory_list_extraction_jobs tool do? +

memory_list_extraction_jobs. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_list_extraction_jobs? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for memory_list_extraction_jobs: 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 Amazon Redshift MCP Server. Nothing to install.

What risk level is memory_list_extraction_jobs? +

memory_list_extraction_jobs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_list_extraction_jobs? +

Yes. Add a rate_limit block to the memory_list_extraction_jobs 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_list_extraction_jobs completely? +

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

memory_list_extraction_jobs is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-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 Amazon Redshift MCP Server tool call.

Start from Amazon Redshift 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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