{ "tokens_out": 3466, "outcome": "pass", "suggested_fix": null, "cycle_checks": null, "fault": { "owner": null, "status": "resolved", "reason": null, "evidence": [] }, "runtime_revision": null, "agent_execution": "native_agent", "time_to_working_s": null, "usage_complete": true, "runtime": null, "architecture": null, "local_or_hosted": null, "agent_interfaces_note": null, "platform_details": null, "platforms_claimed": null, "maintenance": null, "evidence_strength": null, "purpose": "initial", "topic": null, "needs_which": null, "tested_with": null, "native_bundle": null, "agent_runtime": "claude-code", "maintenance_note": null, "runtime_version": null, "does_what_it_says": null, "commit": "545aae42bfeed8184d7af211633cc99ac461cd1d", "failure_origin": null, "stuck_step": null, "repo_url": null, "needs": null, "checks": [ { "check": "operation", "status": "PASS", "details": { "working": true, "argv": [ "-m", "adloop" ], "kind": "mcp", "serverInfo": { "name": "AdLoop", "version": "4.1.1", "websiteUrl": "https://getadloop.com", "icons": [ { "src": "https://getadloop.com/icon-512.png", "mimeType": "image/png", "sizes": [ "512x512" ] }, { "src": "https://getadloop.com/favicon.svg", "mimeType": "image/svg+xml", "sizes": [ "any" ] } ] }, "tools": [ "health_check", "get_account_summaries", "run_ga4_report", "run_realtime_report", "get_tracking_events", "list_key_events", "list_ga4_dimensions_and_metrics", "list_gsc_sites", "run_gsc_report", "analyze_page_speed", "list_merchant_accounts", "get_merchant_feed_health", "get_merchant_product_issues", "list_accounts", "get_campaign_performance", "get_ad_performance", "get_keyword_performance", "get_search_terms", "get_negative_keywords", "get_negative_keyword_lists", "get_negative_keyword_list_keywords", "get_negative_keyword_list_campaigns", "get_recommendations", "get_pmax_performance", "get_pmax_assets", "get_detailed_asset_performance", "get_audience_performance", "get_demographic_targeting", "get_change_history", "analyze_campaign_conversions", "landing_page_analysis", "attribution_check", "audit_event_coverage", "list_gtm_accounts", "list_gtm_containers", "list_gtm_tags", "get_gtm_tag", "list_gtm_triggers", "get_gtm_trigger", "list_gtm_variables", "list_gtm_workspaces", "get_gtm_workspace_diff", "list_gtm_versions", "get_gtm_version", "get_gtm_version_diff", "draft_gtm_tag", "draft_gtm_trigger", "draft_gtm_variable", "draft_delete_gtm_entity", "draft_publish_gtm_workspace", "draft_rollback_gtm_version", "run_gaql", "get_audience_lists", "search_audience_segments", "get_audience_targeting", "draft_audience_attachment", "get_shopping_product_performance", "get_asset_group_signals", "draft_asset_group_signals", "draft_pmax_product_exclusions", "draft_asset_group_assets", "draft_shopping_campaign", "draft_campaign", "draft_ad_group", "update_campaign", "draft_responsive_search_ad", "update_responsive_search_ad", "draft_keywords", "get_custom_conversion_goals", "draft_custom_conversion_goal", "draft_update_custom_conversion_goal", "draft_assign_custom_conversion_goal", "draft_clear_custom_conversion_goal", "add_negative_keywords", "add_negative_locations", "propose_negative_keyword_list", "add_to_negative_keyword_list", "attach_shared_set_to_campaigns", "detach_shared_set_from_campaigns", "get_ai_max_settings", "draft_ai_max_settings", "draft_prepare_brand_exclusions", "draft_demographic_targeting", "update_ad_group", "draft_callouts", "draft_structured_snippets", "draft_image_assets", "pause_entity", "enable_entity", "remove_entity", "draft_sitelinks", "confirm_and_apply", "upload_images", "upload_conversion_csv", "list_uploads", "list_reddit_accounts", "list_reddit_funding_instruments", "get_reddit_campaigns", "get_reddit_ad_groups", "get_reddit_ads", "get_reddit_performance", "run_reddit_report", "get_reddit_pixels", "get_reddit_audiences", "search_reddit_targeting", "get_reddit_account_history", "estimate_reddit_ad_group", "pause_reddit_entity", "enable_reddit_entity", "remove_reddit_entity", "update_reddit_campaign", "update_reddit_ad_group", "update_reddit_ad", "draft_reddit_custom_audience", "draft_reddit_campaign", "draft_reddit_ad_group", "draft_reddit_ad", "draft_key_event", "draft_delete_key_event", "draft_create_conversion_action", "draft_update_conversion_action", "draft_remove_conversion_action", "draft_upload_call_conversions", "draft_upload_enhanced_conversions_for_leads", "validate_tracking", "generate_tracking_code", "estimate_budget", "discover_keywords", "suggest_brands", "check_brand_names", "get_brand_lists", "get_brand_list_brands", "get_brand_list_campaigns", "propose_brand_list", "add_to_brand_list", "remove_from_brand_list", "attach_brand_list_to_campaigns", "detach_brand_list_from_campaigns" ], "scope": "product operation" } } ], "open_issues": null, "agent_runtime_version": "2.1.300 (Claude Code)", "verifies_run_id": null, "total_s": 89.61410117149353, "license": null, "tool_calls": 8, "model_version": "claude-haiku-5-5", "example_checks": [], "mcp": null, "other_model": null, "first_use_s": null, "native_tool_calls": 8, "last_commit_at": null, "source": "https://github.com/kLOsk/adloop", "models_agree": null, "maintenance_verdict": null, "cost_usd": 0.009434249999999998, "safety": null, "answered_issues": null, "what_failed": null, "steps": [ "cd && ls -la && cat README.md | head -300", "cd && git log -1 --format=%H 2>/dev/null; ls -la .github/workflows 2>/dev/null; cat pyproject.toml 2>/dev/null | head -60; ls 2>/dev/null", "cd && grep -n '^#' README.md | head -80; grep -n -E 'uv |pip |adloop (init|--|mcp|serve|version|doctor)|curl|uvx' README.md | head -60; cat .github/workflows/ci.yml; cat .mcp.json", "cat | head -250; which uv python3; python3 --version", "cd && sed -n 355,400p README.md; sed -n 500,515p README.md; grep -n 'validate' | head; ls -la .coldpass 2>/dev/null", "cd && (command -v uv || (python3 -m pip --version 2>/dev/null || sudo apt-get install -y python3-pip >/tmp/apt.log 2>&1; python3 -m pip install --user --break-system-packages uv 2>&1 | tail -3)); export PATH=$HOME/.local/bin:$PATH; uv --version && uv sync 2>&1 | tail -20; echo EXIT=$?", "cd && cat > /tmp/mcp_smoke.py <<'EOF'\nimport json, subprocess, sys\np = subprocess.Popen([\"\", \"-m\", \"adloop\"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=\"\")\ndef send(d): p.stdin.write((json.dumps(d)+\"\\n\").encode()); p.stdin.flush()\ndef recv():\n while True:\n line = p.stdout.readline()\n if not line: raise SystemExit(\"EOF; stderr=\" + p.stderr.read().decode()[-2000:])\n try: doc = json.loads(line)\n except ValueError: continue\n if \"id\" in doc: return doc\nsend({\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{},\"clientInfo\":{\"name\":\"smoke\",\"version\":\"1\"}}})\ninit = recv(); print(\"serverInfo:\", init[\"result\"].get(\"serverInfo\"))\nsend({\"jsonrpc\":\"2.0\",\"method\":\"notifications/initialized\"})\nsend({\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/list\",\"params\":{}})\ntools = recv()[\"result\"][\"tools\"]\nprint(\"tools:\", len(tools), [t[\"name\"] for t in tools][:8])\np.terminate(); p.wait(timeout=5)\nEOF\ntimeout 120 python3 -I /tmp/mcp_smoke.py; echo EXIT=$?", "cd && mkdir -p .coldpass && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"mcp\",\"argv\":[\"\",\"-m\",\"adloop\"],\"cwd\":\"\"}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\n \"outcome\": \"working\",\n \"operation\": \"Start the AdLoop stdio MCP server (README: 'From source' install, then MCP server via .venv/bin/python -m adloop per the Claude Code snippet) and call initialize + tools/list\",\n \"operation_scope\": \"Verified server startup and tool discovery only (138 tools, serverInfo AdLoop 4.1.1). Tool calls against Google Ads/GA4 were not exercised: they require OAuth via 'adloop init' (interactive, browser sign-in and a Google Cloud project), which is outside this smoke task.\",\n \"steps\": [\n \"git clone/pinned source already present in \",\n \"Installed uv 0.13.1 via python3 -m pip install --user --break-system-packages uv (uv not preinstalled in guest)\",\n \"uv sync (README 'From source' install step; resolved and installed dependencies into .venv)\",\n \"Started MCP server: -m adloop; sent initialize, notifications/initialized, tools/list; received 138 tools\"\n ],\n \"deviations\": [\n \"README 'From source' lists 'uv sync' and 'uv run adloop init'; uv was not present in the guest, so it was installed with pip first (--break-system-packages, --user).\",\n \"Did not run 'uv run adloop init' (interactive OAuth/Google Cloud setup, out of scope for smoke). The MCP server still starts and lists tools without credentials.\",\n \"Did not run the test suite (tests/ via pytest) per task instructions.\"\n ],\n \"stuck_step\": null,\n \"main_blocker\": null,\n \"suggested_fix\": null\n}\nEOF\nrm -f /tmp/mcp_smoke.py; = python3 -I --validate; echo EXIT=$?" ], "platform_conflicts": null, "claims_note": null, "maintained_note": null, "repo": "kLOsk/adloop", "service_tier": null, "maintained": null, "source_pin": null, "operation_scope": "product operation", "reasoning": "low", "claims": [], "platform": "linux", "cost_to_try": null, "backend": null, "tool_transport": "mcp-assigned-vm", "hardware": null, "agent_interface": null, "profile": { "model": "claude-haiku-5-5", "reasoning": "low" }, "date": "2026-10-18T16:23:37.738677+00:00", "kind": "mcp", "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "error_excerpt": null, "pass": true, "evidence_version": null, "source_revision": null, "run_id": "kLOsk--adloop-claude-haiku-5-5-1792340528124568123", "last_release_at": null, "furthest_model": null, "model": "claude-haiku-5-5", "what_it_did": "Start the AdLoop stdio MCP server (README: 'From source' install, then MCP server via .venv/bin/python -m adloop per the Claude Code snippet) and call initialize + tools/list", "sandbox_source": null, "other_run_id": null, "hosting": null, "tested_commit": null, "guest_setup": null, "mcp_context": null, "agent_interfaces": [], "setup_identity": null, "works": null, "install_s": null, "fix_id": null, "tokens_in": 185445, "tested_at": null, "test_version": "readme-03aea4c41d53955e3723c330e9927d2a9df627f6642624cc0078a97c73a53c8a", "recovery": { "source": "legacy-oct16-18", "original_run_id": "kLOsk--adloop-claude-haiku-5-5-1792340528124568123", "historical": true, "ledger_sha256": "c5e6a833c182c1e2aecf69d0bd0020aec63c65d98f3e933e4b32232340312736" }, "transcript_url": "/transcripts/kLOsk--adloop-claude-haiku-5-5-1792340528124568123.txt", "report_url": "/reports/kLOsk--adloop-claude-haiku-5-5-1792340528124568123.json" }