memory_start_extraction_job
AI agents invoke memory_start_extraction_job to trigger actions in AWS Well-Architected Security Assessment Tool MCP Server. 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.
The verb 'start' combined with 'extraction_job' suggests this tool initiates an external operation (a job) whose effects depend on unspecified parameters and context. Without description details, this cannot be confirmed as a simple Read (passive query), but rather appears to trigger a background process or extraction task, characteristic of Execute category.
From the tool's definition Tool name contains 'start_extraction_job', which indicates initiating a data extraction operation. The description is empty, providing no clarification on what data is extracted, from where, or what side effects occur.
Documented attack patterns abuse exactly the kind of access memory_start_extraction_job gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Well-Architected Security Assessment Tool MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_start_extraction_job:
{
"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.
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memory_start_extraction_job. It is categorised as a Execute tool in the AWS Well-Architected Security Assessment Tool MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Well-Architected Security Assessment Tool 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 Well-Architected Security Assessment Tool MCP Server. Nothing to install.
memory_start_extraction_job is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
memory_start_extraction_job is provided by the AWS Well-Architected Security Assessment Tool MCP Server MCP server (awslabs.well-architected-security-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Well-Architected Security Assessment Tool MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
805 AWS Well-Architected Security Assessment Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.