Medium Risk

memory_batch_create_records

memory_batch_create_records

How to control memory_batch_create_records ↓

What memory_batch_create_records does on Amazon Bedrock Knowledge Base Retrieval MCP Server

AI agents use memory_batch_create_records to create or update resources in Amazon Bedrock Knowledge Base Retrieval MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Bedrock Knowledge Base Retrieval MCP Server environment.

Medium Risk

Why memory_batch_create_records needs a policy

The tool name suggests creating multiple records in a memory or data store (likely a Knowledge Base index or cache given the server context). This is a reversible write operation with potential for unintended data proliferation if misused by an AI agent (e.g., flooding the knowledge base with malformed entries).

From the tool's definition Tool name 'memory_batch_create_records' contains 'create' and 'batch', indicating bulk record creation. The empty description limits specificity, but the semantic meaning of 'create_records' typically involves data modification rather than read-only retrieval.

Documented attack patterns abuse exactly the kind of access memory_batch_create_records gives an agent:

How to control memory_batch_create_records

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Bedrock Knowledge Base Retrieval MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_batch_create_records:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_batch_create_records": {
      "limits": [
        {
          "counter": "memory_batch_create_records_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

memory_batch_create_records stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Bedrock Knowledge Base Retrieval MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about memory_batch_create_records

What does the memory_batch_create_records tool do? +

memory_batch_create_records. It is categorised as a Write tool in the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_batch_create_records? +

Register the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP server in PolicyLayer and add a rule for memory_batch_create_records: 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 Amazon Bedrock Knowledge Base Retrieval MCP Server. Nothing to install.

What risk level is memory_batch_create_records? +

memory_batch_create_records is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit memory_batch_create_records? +

Yes. Add a rate_limit block to the memory_batch_create_records 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_batch_create_records completely? +

Set action: deny in the PolicyLayer policy for memory_batch_create_records. 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_batch_create_records? +

memory_batch_create_records is provided by the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP server (awslabs.bedrock-kb-retrieval-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 Amazon Bedrock Knowledge Base Retrieval MCP Server tool call.

Start from Amazon Bedrock Knowledge Base Retrieval 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 Amazon Bedrock Knowledge Base Retrieval MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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