create_response

Create a stateless DeepSeek V4 response using the native OpenAI-compatible Responses API. Defaults to

SERVERDeepSeek MCP Server SOURCEdeepseek-mcp-server

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/deepseek-mcp-server/create-response.md

WHAT IT DOES

What create_response does on DeepSeek MCP Server

AI agents invoke create_response to trigger actions in DeepSeek 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.

RISK

Why create_response is rated High

Triggers an external AI model API call; depends on arguments passed.

From the tool's definition Create a stateless DeepSeek V4 response using the native

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_response safely

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

create_response Rate-limited

create_response 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": {
    "create_response": {
      "limits": [
        {
          "counter": "create_response_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 DeepSeek MCP Server, apply this rule, and every create_response call is checked against it from then on.

FAQ

Questions about create_response

What does the create_response tool do? +

Create a stateless DeepSeek V4 response using the native OpenAI-compatible Responses API. Defaults to. It is categorised as a Execute tool in the DeepSeek 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 create_response? +

Register the DeepSeek MCP Server MCP server in PolicyLayer and add a rule for create_response: 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 DeepSeek MCP Server. Nothing to install.

What risk level is create_response? +

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

Can I rate-limit create_response? +

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

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

create_response is provided by the DeepSeek MCP Server MCP server (deepseek-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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