memory_start_extraction_job

THE RISK

High Risk

Why memory_start_extraction_job needs a policy

The tool starts (triggers) an extraction job, which is an external operation with computational side effects that cannot be easily reversed. Without additional arguments visible, the blast radius is moderate but the action is inherently Execute-class. Severity is high because job failures, resource consumption, or unintended data extraction could impact monitoring infrastructure.

From the tool's definition Tool name 'memory_start_extraction_job' indicates initiation of a job that processes memory data. While description is empty, the verb 'start' combined with 'extraction_job' suggests triggering an external operation whose effects depend on arguments and…

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 Prometheus 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 Prometheus 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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Go deeper

High-risk tools in Prometheus MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
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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 Prometheus 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 Prometheus 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 Prometheus 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 Prometheus MCP Server MCP server (awslabs.prometheus-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 Prometheus MCP Server tool call.

Start from Prometheus 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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