update_agent_runtime_endpoint

WHAT IT DOES

What update_agent_runtime_endpoint does on Amazon Bedrock Knowledge Base Retrieval MCP Server

AI agents use update_agent_runtime_endpoint 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 update_agent_runtime_endpoint needs a policy

The tool performs a configuration update operation on an agent's runtime endpoint, which is a reversible write action. It modifies existing state but does not delete data or execute arbitrary code. The high severity reflects that misconfigured endpoints in an agent runtime could redirect traffic, compromise security, or disrupt service.

From the tool's definition Tool name 'update_agent_runtime_endpoint' indicates modification of an agent's runtime configuration endpoint.

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

POLICY

How to control update_agent_runtime_endpoint

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 update_agent_runtime_endpoint:

policy.json

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

update_agent_runtime_endpoint 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 update_agent_runtime_endpoint

What does the update_agent_runtime_endpoint tool do? +

update_agent_runtime_endpoint. 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 update_agent_runtime_endpoint? +

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

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

Can I rate-limit update_agent_runtime_endpoint? +

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

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

update_agent_runtime_endpoint 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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