chat_prompt_complete

THE RISK

High Risk

Why chat_prompt_complete needs a policy

This tool triggers an external backend operation (OPAL) to process and complete a chat prompt. It involves executing a request against an external AI/LLM service, which qualifies as triggering external operations. The description is vague about side effects, but running completions against a backend service is at minimum Execute-level.

From the tool's definition "Tool to use the OPAL backend to complete chat prompt"

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

POLICY

How to control chat_prompt_complete

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Odbc, and nothing reaches the server without passing your rules. This is the rule we recommend for chat_prompt_complete:

policy.json

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

chat_prompt_complete 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.

Create a free account and register Mcp Odbc — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

High-risk tools in Mcp Odbc → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about chat_prompt_complete

What does the chat_prompt_complete tool do? +

Tool to use the OPAL backend to complete chat prompt. It is categorised as a Execute tool in the Mcp Odbc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on chat_prompt_complete? +

Register the Mcp Odbc MCP server in PolicyLayer and add a rule for chat_prompt_complete: 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 Mcp Odbc. Nothing to install.

What risk level is chat_prompt_complete? +

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

Can I rate-limit chat_prompt_complete? +

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

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

chat_prompt_complete is provided by the Mcp Odbc MCP server (openlinksoftware/mcp-odbc-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Odbc tool call.

Start from Mcp Odbc, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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