[AkshayShah03]

Link to Issue or Description of Change

1. Link to an existing issue (if applicable):

• Closes: AnthropicLlm sends failed MCP tool results to Claude with is_error=False #7664

Problem:
_part_to_message_block in anthropic_llm.py builds every tool_result block with is_error=False. When an MCP server reports a failed call (CallToolResult.isError), McpTool passes that result on, and Claude receives the error text as a successful result.

Solution:
Set is_error from the function response's isError flag, also accepting is_error (the MCP SDK 2.x field name), the same two spellings McpTool._detect_error_in_response reads. Everything else in the block is unchanged.

The question in #7664 about content responses dropping sibling keys is left out of this PR.

Testing Plan

Unit Tests:

• I have added or updated unit tests for my change.
• All unit tests pass locally.

Added test_part_to_message_block_marks_mcp_error_result_as_error (parametrized for isError and is_error) to tests/unittests/models/test_anthropic_llm.py. Both cases fail on main (is_error is False) and pass with this change. The existing tests that assert not result["is_error"] for successful results still pass.

$ pytest tests/unittests/models/test_anthropic_llm.py
186 passed

$ pytest -n auto tests/unittests/models tests/unittests/tools/mcp_tool tests/unittests/flows
3250 passed, 4 failed

The 4 failures are test_google_llm.py::test_generate_content_async_leaves_continuation_to_sdk, which also fail on main in my environment (google-genai 2.29; that feature needs a newer SDK).

pyink and isort report no changes.

Manual End-to-End (E2E) Tests:

Ran the snippet from #7664 (an MCP CallToolResult dump with isError: true through part_to_message_block):

• on main: 'file not found: notes.txt' is_error = False
• with this change: 'file not found: notes.txt' is_error = True

Checklist

• I have read the CONTRIBUTING.md document.
• I have performed a self-review of my own code.
• I have commented my code, particularly in hard-to-understand areas.
• I have added tests that prove my fix is effective or that my feature works.
• New and existing unit tests pass locally with my changes.
• I have manually tested my changes end-to-end.
• Any dependent changes have been merged and published in downstream modules.