memory_start_extraction_job · Awslabs Valkey MCP

WHAT IT DOES

What memory_start_extraction_job does on Awslabs Valkey

AI agents invoke memory_start_extraction_job to trigger actions in Awslabs Valkey. 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.

WHY IT NEEDS A POLICY

Why memory_start_extraction_job needs a policy

Despite the empty description limiting certainty, the tool name clearly indicates job execution on AWS infrastructure. Starting extraction jobs can have significant side effects (resource consumption, data processing, potential data exposure) that depend on job parameters and configuration.

From the tool's definition Tool name 'memory_start_extraction_job' suggests initiating a job operation on a memory/cache system (ElastiCache/MemoryDB). The 'start' verb indicates triggering an external operation whose effects depend on runtime arguments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_start_extraction_job Rate-limited

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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Awslabs Valkey, so you can run agents against it safely.

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 Awslabs Valkey 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 Awslabs Valkey 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 Awslabs Valkey. 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 Awslabs Valkey MCP server (awslabs.valkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.