Debug code with step-by-step DeepSeek analysis
Risk signalsSends code to external DeepSeek API
Part of the Deepseek server.
Free to start. No card required.
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. PolicyLayer 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.
{
"version": "1",
"default": "deny",
"tools": {
"debug_with_reasoning": {
"limits": [
{
"counter": "debug_with_reasoning_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Deepseek policy for all 15 tools.
These attack patterns abuse exactly the kind of access debug_with_reasoning gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
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.
Register the Deepseek MCP server in PolicyLayer and add a rule for debug_with_reasoning: 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. Nothing to install.
debug_with_reasoning is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the debug_with_reasoning 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.
Set action: deny in the PolicyLayer 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.
debug_with_reasoning is provided by the Deepseek MCP server (@arikusi/deepseek-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 15 Deepseek tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.