What this error means

OAuth generates duplicate prompt parameter in Microsoft 365 connector is a Claude Code failure pattern reported for developers trying to fix duplicate 'prompt' parameter generation in oauth flow when using microsoft 365 connector integration with claude code. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue #60152 in anthropics/claude-code, opened May 18 2026. The Microsoft 365 MCP connector produces a malformed OAuth URL with duplicate 'prompt' query parameter, breaking authentication. Category: AI Coding Tools (auth area). OAuth auth failures on paid services are high-value targets.

Common causes

  • GitHub Issue #60152 in anthropics/claude-code, opened May 18 2026. The Microsoft 365 MCP connector produces a malformed OAuth URL with duplicate 'prompt' query parameter, breaking authentication. Category: AI Coding Tools (auth area). OAuth auth failures on paid services are high-value targets.

Quick fixes

  1. Confirm the exact error signature matches OAuth generates duplicate prompt parameter in Microsoft 365 connector.
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.