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explain_like_im_five

Explain complex topics in simple terms via DeepSeek

Risk signalsSends prompts to external DeepSeek API

Part of the Deepseek server.

explain_like_im_five can trigger actions in Deepseek, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke explain_like_im_five 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.

explain_like_im_five 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "explain_like_im_five": {
      "limits": [
        {
          "counter": "explain_like_im_five_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Deepseek policy for all 15 tools.

Get this rule live on your own Deepseek server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access explain_like_im_five gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so explain_like_im_five only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the explain_like_im_five tool do? +

Explain complex topics in simple terms via DeepSeek. 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 explain_like_im_five? +

Register the Deepseek MCP server in PolicyLayer and add a rule for explain_like_im_five: 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.

What risk level is explain_like_im_five? +

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

Can I rate-limit explain_like_im_five? +

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

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

explain_like_im_five 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.

Enforce policy on every Deepseek tool call.

Deterministic rules across all 15 Deepseek tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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