openRouter_chat_completion

Send a chat completion request to an AI model via OpenRouter

SERVERScopeGate SOURCEhttps://mcp.scopegate.cloud/{api_key}

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-alifanov-scopegate/openrouter-chat-completion.md

WHAT IT DOES

What openRouter_chat_completion does on ScopeGate

AI agents invoke openRouter_chat_completion to trigger actions in ScopeGate. 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.

RISK

Why openRouter_chat_completion is rated High

This tool triggers an external API call to an AI model via OpenRouter, executing an LLM inference request. The effects depend entirely on the prompt/arguments supplied, which could be used to exfiltrate data, generate harmful content, or chain with other tools. It is not a simple read — it actively invokes an external service and its outputs can have downstream consequences.

From the tool's definition Send a chat completion request to an AI model via OpenRouter

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs openRouter_chat_completion safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ScopeGate, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For openRouter_chat_completion, this is the rule to start with:

openRouter_chat_completion Rate-limited

openRouter_chat_completion 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": {
    "openRouter_chat_completion": {
      "limits": [
        {
          "counter": "openrouter_chat_completion_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ScopeGate, apply this rule, and every openRouter_chat_completion call is checked against it from then on.

FAQ

Questions about openRouter_chat_completion

What does the openRouter_chat_completion tool do? +

Send a chat completion request to an AI model via OpenRouter. It is categorised as a Execute tool in the ScopeGate MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on openRouter_chat_completion? +

Register the ScopeGate MCP server in PolicyLayer and add a rule for openRouter_chat_completion: 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 ScopeGate. Nothing to install.

What risk level is openRouter_chat_completion? +

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

Can I rate-limit openRouter_chat_completion? +

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

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

openRouter_chat_completion is provided by the ScopeGate MCP server (https://mcp.scopegate.cloud/{api_key}). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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