High Risk →

debug_with_reasoning

Debug code with step-by-step DeepSeek analysis

Sends code to external DeepSeek API

Part of the Deepseek MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@arikusi/deepseek-mcp-server Execute Risk 3/5

AI agents invoke debug_with_reasoning to trigger processes or run actions in Deepseek. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

debug_with_reasoning can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-arikusi-deepseek.yaml
tools:
  debug_with_reasoning:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Deepseek policy for all 15 tools.

Tool Name debug_with_reasoning
Category Execute
MCP Server Deepseek MCP Server
Risk Level High

View all 15 tools →

Agents calling execute-class tools like debug_with_reasoning have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

debug_with_reasoning is one of the high-risk operations in Deepseek. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the debug_with_reasoning tool do? +

Debug code with step-by-step DeepSeek analysis. It is categorised as a Execute tool in the Deepseek MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on debug_with_reasoning? +

Add a rule in your Intercept YAML policy under the tools section for debug_with_reasoning. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Deepseek MCP server.

What risk level is debug_with_reasoning? +

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

Can I rate-limit debug_with_reasoning? +

Yes. Add a rate_limit block to the debug_with_reasoning rule in your Intercept 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 debug_with_reasoning completely? +

Set action: deny in the Intercept policy for debug_with_reasoning. 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 debug_with_reasoning? +

debug_with_reasoning is provided by the Deepseek MCP server (@arikusi/deepseek-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Deepseek

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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