Low Risk

recommend_indexes_account

recommend_indexes_account

How to control recommend_indexes_account ↓

What recommend_indexes_account does on Amazon Bedrock Knowledge Base Retrieval MCP Server

AI agents call recommend_indexes_account to retrieve information from Amazon Bedrock Knowledge Base Retrieval MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why recommend_indexes_account needs a policy

The tool appears to analyze or query account indexing status to generate recommendations, which is a read-only, non-mutative operation. No side effects or data modification is indicated.

From the tool's definition Tool name 'recommend_indexes_account' suggests an advisory/analytical function that provides recommendations about database indexes for an account.

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

How to control recommend_indexes_account

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 recommend_indexes_account:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_indexes_account": {}
  }
}

recommend_indexes_account is read-only, so it stays allowed — but 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about recommend_indexes_account

What does the recommend_indexes_account tool do? +

recommend_indexes_account. It is categorised as a Read tool in the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend_indexes_account? +

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

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

Can I rate-limit recommend_indexes_account? +

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

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

recommend_indexes_account 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.