Low Risk

hash_exists

Check if field exists in hash.

How to control hash_exists ↓

What hash_exists does on Amazon Bedrock Knowledge Base Retrieval MCP Server

AI agents call hash_exists 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 hash_exists needs a policy

This tool performs a simple existence check on a hash data structure, which is a read-only operation with no side effects. It retrieves state information without altering data, executing code, or triggering external systems. The minimal scope and non-destructive nature warrant low severity.

From the tool's definition Tool name 'hash_exists' and description 'Check if field exists in hash' indicate a query operation that verifies the presence of a field without modifying, deleting, or executing external operations.

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

How to control hash_exists

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 hash_exists:

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

hash_exists 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.
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Related tools and policies

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Questions about hash_exists

What does the hash_exists tool do? +

Check if field exists in hash. 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 hash_exists? +

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

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

Can I rate-limit hash_exists? +

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

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

hash_exists 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.

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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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