What this error means

Subagents fail with 'prompt is too long' when user has many MCP servers (tool definitions exceed 200k) is a Claude Code failure pattern reported for developers trying to subagent execution fails due to prompt exceeding token limit when multiple mcp server tool definitions fill context space — need guidance on managing mcp configs or reducing prompt size. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Found on anthropics/claude-code issue #37793 (open, Mar 23 2026, 17 comments). Tagged area:agents, area:mcp, bug, has repro. Growing MCP ecosystem makes this increasingly relevant. Enterprise users with many custom tools face this blocker.

Common causes

  • Found on anthropics/claude-code issue #37793 (open, Mar 23 2026, 17 comments). Tagged area:agents, area:mcp, bug, has repro. Growing MCP ecosystem makes this increasingly relevant. Enterprise users with many custom tools face this blocker.

Quick fixes

  1. Confirm the exact error signature matches Subagents fail with 'prompt is too long' when user has many MCP servers (tool definitions exceed 200k).
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

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.