AI agents call memory_list_extraction_jobs to retrieve information from Prometheus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The verb 'list' in the tool name strongly suggests this retrieves or enumerates existing extraction jobs without modifying them. However, confidence is reduced to 0.6 because the description is empty, preventing verification of the actual operation. If this tool can filter, enumerate, or export job metadata from Prometheus, it remains a Read operation with low severity (standard information retrieval).
From the tool's definition Tool name 'memory_list_extraction_jobs' suggests querying or listing extraction jobs; no description provided to confirm action. The 'list' verb typically indicates a read-only retrieval operation.
Documented attack patterns abuse exactly the kind of access memory_list_extraction_jobs gives an agent:
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_list_extraction_jobs:
{
"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.
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memory_list_extraction_jobs. It is categorised as a Read tool in the Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prometheus 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 Prometheus MCP Server. Nothing to install.
memory_list_extraction_jobs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
memory_list_extraction_jobs 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.
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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805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.