general_api_request | PolicyLayer

WHAT IT DOES

What general_api_request does on Elasticsearch/OpenSearch MCP Server

AI agents invoke general_api_request to trigger actions in Elasticsearch/OpenSearch MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why general_api_request needs a policy

A 'general_api_request' tool on an Elasticsearch/OpenSearch server likely allows arbitrary API calls against the cluster, which could span reading, writing, executing, or destructive operations (e.g., DELETE indices, POST documents, PUT mappings).

From the tool's definition Tool name 'general_api_request' on a server that manages Elasticsearch/OpenSearch clusters; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

general_api_request Rate-limited

general_api_request stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "general_api_request": {
      "limits": [
        {
          "counter": "general_api_request_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Elasticsearch/OpenSearch MCP Server, so you can run agents against it safely.

FAQ

Questions about general_api_request

What does the general_api_request tool do? +

general_api_request. It is categorised as a Execute tool in the Elasticsearch/OpenSearch MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on general_api_request? +

Register the Elasticsearch/OpenSearch MCP Server MCP server in PolicyLayer and add a rule for general_api_request: 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 Elasticsearch/OpenSearch MCP Server. Nothing to install.

What risk level is general_api_request? +

general_api_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit general_api_request? +

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

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

general_api_request is provided by the Elasticsearch/OpenSearch MCP Server MCP server (rbedoyag/elasticsearch-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.