## Summary - Add shared span attributes for tool error diagnostics, including developer-facing messages when present. - Wire those attributes through MCP server, worker RunTool, and HTTP CallTool spans while keeping default MCP response content public-only. - Cover no-leak response behavior, non-recording spans, outputless worker responses, and the shared attribute contract. ## Verification - `uv run ruff format ...` - `uv run ruff check ...` - `uv run pytest -W ignore libs/tests/arcade_mcp_server/test_debug_exposure_integration.py libs/tests/core/test_log_extras.py libs/tests/worker/test_worker_base.py` Made with [Cursor](https://cursor.com) <!-- CURSOR_SUMMARY --> --- > [!NOTE] > **Medium Risk** > Adds new telemetry attributes that propagate tool error messages (including optional developer_message) into active spans across MCP server and worker execution paths; risk is mainly around potential leakage of sensitive developer messages into tracing backends and changes to observability contracts. > > **Overview** > Adds a shared `arcade_core.log_extras.build_tool_error_span_attributes()` helper and wires it into tool error paths so the current OpenTelemetry span is annotated with stable `tool_error_*` attributes (including `developer_message` when present). > > MCP tool calls now record these span attributes on failure while keeping default MCP response content sanitized, and `arcade-serve` records the same attributes on both `RunTool` and HTTP `CallTool` spans (handling `output=None`). Versions and dependency constraints are bumped to consume the new core helper, with tests added/updated to lock the span-attribute contract and verify behavior for non-recording spans and no-leak responses. > > <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit 33a53991d72140a662152f508dc53e9b769b9f07. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup> <!-- /CURSOR_SUMMARY --> |
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Arcade Core
Core library for the Arcade platform providing foundational components and utilities.
Overview
Arcade Core provides the essential building blocks for the Arcade platform:
- Tool Catalog & Toolkit Management: Core classes for managing and organizing tools
- Configuration & Schema Handling: Configuration management and validation
- Authentication & Authorization: Auth providers and security utilities
- Error Handling: Comprehensive error types and handling
- Telemetry & Observability: Monitoring and tracing capabilities
- Utilities: Common helper functions and validators
Installation
pip install arcade-core
Usage
- Install an arcade toolkit
pip install arcade-math
- Load the toolkit
import arcade_math
from arcade_core import ToolCatalog, Toolkit
# Create a tool catalog
catalog = ToolCatalog()
# Load a toolkit
toolkit = Toolkit.from_module(arcade_math)
License
MIT License - see LICENSE file for details.