Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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UCLA-Trustworthy-AI-Lab
Source: github_code
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MCP_DEBUGSet to any non-empty value to enable verbose MCP server loggingVLLM_URLVLLM_API_KEYVLLM_MODELOPENAI_MODELOPENAI_API_KEYpip install -e ".[llm]" # LLM recommendations (requires )OPENAI_URLSYNTHONY_DATA_DIR"": "/path/to/your/datasets"API_HOSTAPI_PORTAPI_WORKERSSYNTHONY_SYSTEM_PROMPTBASELINE_LLM_MODELOPENBLAS_NUM_THREADSOMP_NUM_THREADSMKL_NUM_THREADSNUMEXPR_NUM_THREADSVECLIB_MAXIMUM_THREADSBLIS_NUM_THREADSDATABASE_ECHOENABLE_SESSION_LISTINGMAX_UPLOAD_SIZE_MBMAX_SESSION_STORAGE_MBMAX_TOTAL_STORAGE_GBUPLOAD_DIRDATABASE_URLTool annotations
13/16 tools have annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
3/16 tools missing one or more hints — call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); synthony_update_model_capabilities (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); synthony_rank_models_hybrid (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
No access to sensitive paths
Reads sensitive paths: /app/.env
Remove reads of sensitive system paths. If you genuinely need them, document why in the README.
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