gateway_resource_policy_put

WHAT IT DOES

What gateway_resource_policy_put does on Amazon Bedrock Knowledge Base Retrieval MCP Server

AI agents use gateway_resource_policy_put 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.

THE RISK

Medium Risk

Why gateway_resource_policy_put needs a policy

The 'put' operation on a gateway resource policy modifies access control rules, which is a reversible write operation. However, misconfiguring resource policies could have significant blast radius by granting unintended access to infrastructure resources. Severity is high because policy misconfigurations affect security posture, though not immediately destructive or financial in nature.

From the tool's definition Tool name 'gateway_resource_policy_put' combines 'put' (a write operation) with 'resource_policy' (infrastructure access control). The 'put' verb indicates creation or modification of a policy resource. Empty description reduces confidence slightly.

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

POLICY

How to control gateway_resource_policy_put

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 gateway_resource_policy_put:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gateway_resource_policy_put": {
      "limits": [
        {
          "counter": "gateway_resource_policy_put_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

gateway_resource_policy_put 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.

Create a free account and register Amazon Bedrock Knowledge Base Retrieval 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.

LIMIT THIS TOOL →

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EXPLORE

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Go deeper

Govern customer-ops agents → PII redaction, approval on external messages, and no-bulk-delete rules on the records agents change.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about gateway_resource_policy_put

What does the gateway_resource_policy_put tool do? +

gateway_resource_policy_put. 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 gateway_resource_policy_put? +

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

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

Can I rate-limit gateway_resource_policy_put? +

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

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

gateway_resource_policy_put 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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