Low Risk

apply_yaml

apply_yaml

How to control apply_yaml ↓

What apply_yaml does on Amazon Bedrock Knowledge Base Retrieval MCP Server

AI agents call apply_yaml as a supporting operation in Amazon Bedrock Knowledge Base Retrieval MCP Server workflows.

Low Risk

Why apply_yaml needs a policy

The name 'apply_yaml' could imply writing or executing configuration (e.g., applying a YAML manifest like kubectl apply), but without any description, the actual behavior is unknown. Given the server context (Bedrock Knowledge Base Retrieval), it may relate to configuration writes. Due to the empty description, confidence is very low.

From the tool's definition Tool name is 'apply_yaml' but description is empty or uninformative; no description provided to clarify behavior.

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

How to control apply_yaml

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 apply_yaml:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_yaml": {
      "limits": [
        {
          "counter": "apply_yaml_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

apply_yaml gets a rate cap, and 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.
SET A RULE FOR THIS TOOL →

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Related tools and policies

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Questions about apply_yaml

What does the apply_yaml tool do? +

apply_yaml. It is categorised as a Other tool in the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on apply_yaml? +

Register the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP server in PolicyLayer and add a rule for apply_yaml: 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 apply_yaml? +

apply_yaml is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit apply_yaml? +

Yes. Add a rate_limit block to the apply_yaml 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 apply_yaml completely? +

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

apply_yaml 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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