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Root Cause Analysis: "No such tool available: null" Error

Date: 2025-10-14 Log File: .claude-trace/log-2025-10-14-20-40-28.html Status: ✅ ROOT CAUSE IDENTIFIED


Executive Summary

The error "No such tool available: null" occurs because Azure's GPT-5-Codex model is returning tool_use blocks with name: null in the streaming response. This is a critical issue where the Azure proxy is stripping or not including tool names when Claude Code makes tool use requests.


Detailed Findings

1. The Error Pattern

What we found:

  • Azure OpenAI proxy returns tool_use blocks in streaming responses with "name": null
  • This happens consistently across multiple request/response pairs
  • The tools are properly defined in the request, but the response omits the tool name

Example from Pair 1:

{
  "type": "content_block_start",
  "index": 1,
  "content_block": {
    "type": "tool_use",
    "id": "call_kT29aYE6iRDwGlWkJCtRWHFu",
    "name": null, // ❌ SHOULD BE "TodoWrite"
    "input": {}
  }
}

2. Affected Tools

Analysis of 7 tool_use blocks with null names:

Tool (Guessed) Occurrences Identifiable By
TodoWrite 5 input.todos parameter
Read 2 input.file_path + input.offset parameters

Note: We can identify which tool was intended by examining the input parameters, proving the tool definitions are correct but the name is being lost in the Azure response.

3. Tool Definitions Are Correct

All 15 tools in the request have valid names:

  • Task ✅
  • Bash ✅
  • Glob ✅
  • Grep ✅
  • Read ✅
  • Edit ✅
  • Write ✅
  • NotebookEdit ✅
  • WebFetch ✅
  • WebSearch ✅
  • TodoWrite ✅
  • BashOutput ✅
  • KillShell ✅
  • SlashCommand ✅

Conclusion: The problem is NOT in how Claude Code sends tool definitions to Azure.

4. Where the Problem Occurs

Request Flow:

  1. Claude Code → Azure Proxy: Tools sent with correct names ✅
  2. Azure Proxy → Azure OpenAI: (Unknown transformation) ❓
  3. Azure OpenAI → Azure Proxy: Response generated 🤔
  4. Azure Proxy → Claude Code: Returns name: null in tool_use blocks ❌

The issue is in steps 2-4, where the Azure proxy is either:

  • Not properly mapping tool names when calling Azure OpenAI's function calling API
  • Not properly parsing tool names from Azure OpenAI's response
  • Using an incorrect API format that doesn't preserve tool names in streaming responses

5. Evidence from Request/Response Pairs

Pair 1 (Initial Request):

  • Request sends 15 tools with valid names
  • Response returns: "name": null, "id": "call_kT29aYE6iRDwGlWkJCtRWHFu"
  • Input parameters: { "todos": [...] } → Should be TodoWrite

Pair 2-5 (Subsequent Requests):

  • Previous tool_use blocks sent back as messages with name: null
  • This propagates the error through the conversation
  • Azure continues to return new tool_use blocks with name: null

6. Impact on Claude Code

When Claude Code receives a tool_use block with name: null:

  1. It cannot identify which tool to execute
  2. It returns error: <tool_use_error>Error: No such tool available: null</tool_use_error>
  3. The error gets sent back in the next request
  4. The conversation cannot proceed as tools cannot be executed

Root Cause Summary

Primary Issue: The Azure OpenAI proxy (http://localhost:9001) is returning tool_use blocks in streaming responses with name: null instead of the actual tool name.

Not the Problem:

  • ❌ Tool definitions sent by Claude Code (all have valid names)
  • ❌ Tool input parameters (correctly formatted)
  • ❌ Claude Code's tool routing logic

The Problem:

  • ✅ Azure proxy's handling of tool names in function calling responses
  • ✅ Possible mismatch between Anthropic's tool_use format and Azure OpenAI's function calling format
  • ✅ Streaming response transformation that loses tool name information

Next Steps / Recommendations

Immediate Actions

  1. Examine Azure Proxy Code
  2. Location: Likely in proxy routing/transformation logic
  3. Focus: How tool definitions are converted to Azure OpenAI format
  4. Check: How function calling responses are converted back to Anthropic format

  5. Check API Format Mapping

  6. Anthropic format: { "type": "tool_use", "name": "ToolName", ... }
  7. Azure OpenAI format: { "type": "function", "function": { "name": "FunctionName", ... } }
  8. Verify the proxy correctly maps between these formats in BOTH directions

  9. Test Non-Streaming Responses

  10. Try with stream: false to see if the issue persists
  11. This will help isolate if it's a streaming-specific transformation bug

Code Areas to Investigate

  1. Proxy Response Handler (Most Likely)
src/proxy/response-transformer.ts (or similar)
- convertAzureResponseToAnthropic()
- streamingResponseHandler()
  1. Tool/Function Mapping
src/proxy/tool-mapper.ts (or similar)
- mapToolsToAzureFunctions()
- mapAzureFunctionCallsToToolUse()
  1. Streaming SSE Parser
    src/proxy/sse-parser.ts (or similar)
    - parseStreamingChunk()
    - buildToolUseBlock()
    

Test Case

Create a minimal reproduction:

# Send request with one tool
curl -X POST http://localhost:9001/v1/messages \
  -H "Content-Type: application/json" \
  -d '{
    "model": "azure/gpt-5-codex",
    "messages": [{"role": "user", "content": "Use TodoWrite to create a task"}],
    "tools": [{"name": "TodoWrite", "description": "...", "input_schema": {...}}],
    "stream": true
  }'

# Expected: tool_use block with name="TodoWrite"
# Actual: tool_use block with name=null

Technical Details

Tool IDs Observed

  • call_kT29aYE6iRDwGlWkJCtRWHFu - TodoWrite (used 5 times)
  • call_dGmWGltLJ1bbxCKhkukEJpmk - Read (used 2 times)
  • call_5LZA9k2bsldZH7qvmAdezQCr - TodoWrite (used 1 time)

Model Information

  • Requested Model: azure/gpt-5-codex
  • Actual Model (per response): azure/gpt-5-codex
  • Request URL: http://localhost:9001/v1/messages?beta=true
  • API Version: 2023-06-01

Request Headers

anthropic-beta: claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14

Conclusion

The issue is definitively in the Azure proxy's response transformation logic. The tool names are being lost when converting Azure OpenAI's function calling responses back to Anthropic's tool_use format. This is a critical bug that breaks all tool use functionality.

Fix Priority: CRITICAL - Tool use is completely non-functional.

Expected Fix Location: Azure proxy response transformer, specifically in the streaming response handler that builds tool_use blocks from Azure OpenAI function calls.