analyze_error_with_gemini · Debug Companion MCP

WHAT IT DOES

What analyze_error_with_gemini does on Debug Companion MCP

AI agents invoke analyze_error_with_gemini to trigger actions in Debug Companion MCP. 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.

WHY IT NEEDS A POLICY

Why analyze_error_with_gemini needs a policy

The tool likely triggers an external API call to Google Gemini to analyze errors and suggest fixes. This constitutes executing an external operation. The description is empty, which lowers confidence. Severity is high because misuse could send sensitive code/data to an external service, incur API costs, or produce misleading fix suggestions that an agent might apply automatically.

From the tool's definition Tool name 'analyze_error_with_gemini' and server description mentions 'optionally requesting fix suggestions from Gemini' — implies calling an external AI API (Gemini).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_error_with_gemini Rate-limited

analyze_error_with_gemini 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": {
    "analyze_error_with_gemini": {
      "limits": [
        {
          "counter": "analyze_error_with_gemini_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Debug Companion MCP, so you can run agents against it safely.

FAQ

Questions about analyze_error_with_gemini

What does the analyze_error_with_gemini tool do? +

analyze_error_with_gemini. It is categorised as a Execute tool in the Debug Companion MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_error_with_gemini? +

Register the Debug Companion MCP server in PolicyLayer and add a rule for analyze_error_with_gemini: 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 Debug Companion MCP. Nothing to install.

What risk level is analyze_error_with_gemini? +

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

Can I rate-limit analyze_error_with_gemini? +

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

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

analyze_error_with_gemini is provided by the Debug Companion MCP server (shanirap/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.