gemini3-thought-signature-tool-use-fix

Route tool-bearing Gemini 3 requests to gemini-2.5-flash to fix empty responses.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/hubeiqiao/skills --skill gemini3-thought-signature-tool-use-fix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini3-thought-signature-tool-use-fix
Source: https://github.com/hubeiqiao/skills/tree/main/gemini3-thought-signature-tool-use-fix
Command: npx skills add https://github.com/hubeiqiao/skills --skill gemini3-thought-signature-tool-use-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill resolves an issue where Google Gemini 3 models return empty responses after tool use when proxied through OpenAI-compatible clients, preventing multi-turn function calling.

Core Features & Use Cases

  • Resolves Empty Responses: Fixes the problem of blank outputs specifically after tool calls (web_fetch, exec, browser).
  • Handles Google 400 Errors: Addresses the "Function call is missing a thought_signature" error returned by Google.
  • Enables Multi-Turn Function Calling: Restores proper functionality for sequential tool interactions.
  • Use Case: When your bot successfully uses a tool like web_fetch but then fails to provide a synthesized response, this skill ensures the conversation continues smoothly.

Quick Start

Apply the proxy-level model routing solution to downgrade tool-bearing requests to gemini-2.5-flash.

Frequently Asked Questions about gemini3-thought-signature-tool-use-fix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why does Gemini 3 return an empty response after a function call?

Gemini 3 returns an empty response after a function call due to a missing thought_signature, causing a 400 error. Applying proxy-level model routing resolves this by downgrading tool-bearing requests to gemini-2.5-flash.

How do I fix the Google 400 error "Function call is missing a thought_signature"?

To fix the missing thought_signature 400 error, implement proxy-level model routing to downgrade tool-bearing requests to gemini-2.5-flash, bypassing the Gemini 3 issue and restoring multi-turn function calling.

How do I restore multi-turn function calling with Gemini 3 proxied through OpenAI-compatible clients?

Restore multi-turn function calling by applying proxy-level model routing for tool-bearing requests. This bypasses the Gemini 3 empty response issue by falling back to gemini-2.5-flash for sequential tool interactions.

Does this proxy-level model routing approach work for all tool use cases like web_fetch and browser?

Yes, proxy-level model routing works for tool use cases like web_fetch, exec, and browser. It ensures the conversation continues smoothly by routing these tool-bearing requests to gemini-2.5-flash to prevent blank outputs.

What happens to multi-turn conversations if I don't fix the Gemini 3 tool use error?

Without fixing the Gemini 3 tool use error, multi-turn conversations experience provider cascade failures. The bot successfully uses a tool but fails to provide a synthesized response, resulting in empty outputs.

Can I use Gemini 3 for standard requests while fixing tool use errors?

Yes, you can use Gemini 3 for standard requests while fixing tool use errors. The solution applies proxy-level model routing specifically to tool-bearing requests, falling back to gemini-2.5-flash only when needed.