memory_start_extraction_job

THE RISK

High Risk

Why memory_start_extraction_job needs a policy

'start_extraction_job' initiates an external operation whose effects—what data is extracted, where it goes, resource consumption—depend on the job arguments. This is Execute rather than Read (it has side effects beyond retrieval) or Write (it likely triggers compute/storage operations beyond simple data creation).

From the tool's definition Tool name 'memory_start_extraction_job' indicates triggering an extraction job—an asynchronous operation that initiates processing of data. The description is empty, limiting direct confirmation, but 'start' and 'job' are typical Execute category markers (cf.

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 AWS AppSync 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 AWS AppSync 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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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 AWS AppSync 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 AWS AppSync 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 AppSync 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 AWS AppSync MCP Server MCP server (awslabs.aws-appsync-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 AWS AppSync MCP Server tool call.

Start from AWS AppSync 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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