data/scenario_catalog.csv

filename,id,type,category,difficulty,asset_id,domain_tags,expected_tools,text,characteristic_form
aob_fmsr_01_list_failure_modes.json,AOB-FMSR-001,FMSR,Failure Mode Catalog,easy,,FMSR,fmsr.list_failure_modes,"List all known failure modes in the transformer dataset. For each, provide the severity level and recommended maintenance action.","The answer should enumerate all failure modes from the catalogue with each entry including at minimum: a name or identifier, a severity level (low/medium/high/critical), and a recommended maintenance action."
fmsr_01_dga_fault_mode_diagnosis.json,SGT-003,FMSR,Fault Diagnosis,medium,T-012,FMSR,fmsr.get_dga_record;fmsr.analyze_dga;fmsr.search_failure_modes,Use the latest DGA record for transformer T-012 to identify the most likely fault mode and explain the top two candidate failure mechanisms.,The answer should map DGA evidence to a primary fault mode and provide at least one alternative candidate with rationale grounded in gas patterns or known fault mapping.
fmsr_02_hydrogen_spike_root_cause.json,SGT-004,FMSR,Root Cause Analysis,medium,T-018,FMSR,fmsr.get_dga_record;fmsr.analyze_dga;fmsr.search_failure_modes,Transformer T-018 has a sudden hydrogen increase relative to baseline. Determine the likely root cause class and recommend one confirmatory measurement.,The answer should classify the likely failure/root-cause class from gas behavior and propose one concrete confirmatory measurement or inspection step.
fmsr_03_symptom_to_sensor_correlation.json,SGT-013,FMSR,Symptom-Driven Failure Mode Lookup,medium,T-003,FMSR,fmsr.search_failure_modes;fmsr.get_sensor_correlation,Field technicians on T-003 reported intermittent partial discharge symptoms during their last inspection. Identify the failure mode that best matches this symptom and list the sensor readings most useful for confirming and tracking its progression.,"The answer should identify a specific failure mode matching the symptom, cite the match rationale, and list the sensors most correlated with tracking that mode."
fmsr_04_dga_full_diagnostic_chain.json,SGT-014,FMSR,Full DGA Diagnostic Chain,hard,T-014,FMSR,fmsr.get_dga_record;fmsr.analyze_dga;fmsr.search_failure_modes;fmsr.get_sensor_correlation,"T-014's most recent oil sample has returned elevated gas readings flagged during laboratory review. Diagnose the probable fault mode, identify the closest matching failure mechanism in the catalogue, and specify which sensors should be prioritized for ongoing monitoring.","The answer should state the DGA-derived fault mode, match it to a catalogue failure mechanism with rationale, and recommend a prioritized sensor monitoring list."
fmsr_05_dga_record_lookup_explain.json,SGT-023,FMSR,DGA Record Interpretation,medium,T-013,FMSR,fmsr.get_dga_record;fmsr.search_failure_modes,"Pull the dissolved gas analysis record on file for T-013 and explain what the gas profile suggests about the unit. Identify the dominant gases, then look up which failure mode in the catalogue best matches that gas signature.","The answer should report the stored DGA gas concentrations for T-013, identify which gases dominate the profile, and name the matching failure mode from the catalogue with its severity tier and recommended action."
fmsr_06_severity_filtered_failure_review.json,SGT-024,FMSR,Severity-Filtered Failure Mode Review,easy,,FMSR,fmsr.list_failure_modes,"Operations is preparing a spare-parts and inspection plan focused on worst-case scenarios. From the failure mode catalogue, surface only the modes flagged at high or critical severity and pair each with its recommended maintenance action.","The answer should list every failure mode whose severity is either high or critical, give the descriptive label or IEC code for each, and pair it with the recommended maintenance action drawn from the catalogue."
fmsr_07_normal_dga_confirmation.json,SGT-031,FMSR,Fault Diagnosis,medium,T-005,FMSR,fmsr.get_dga_record;fmsr.analyze_dga,Transformer T-005 shows stable gas levels during routine monitoring. Confirm whether any fault is indicated and recommend the next monitoring step.,A normal/no-fault confirmation with a routine-monitoring recommendation.
iot_01_list_transformer_sensors.json,SGT-001,IoT,Asset Discovery,easy,T-011,IoT,iot.get_asset_metadata;iot.list_sensors;iot.get_sensor_readings,List all available sensors for transformer T-011 and include each sensor's latest timestamped value.,"The answer should identify asset T-011, enumerate available sensor names, and provide latest value plus timestamp for each sensor using IoT retrieval tools."
iot_02_voltage_imbalance_check.json,SGT-002,IoT,Condition Monitoring,medium,T-014,IoT,iot.get_sensor_readings,"For transformer T-014, inspect the last 24 hours of available voltage telemetry and report whether either voltage signal deviated more than 3% from its recent mean.","The answer should compute or reference phase-voltage imbalance over the requested window, state whether any event exceeded 3%, and include when the peak imbalance occurred."
iot_03_fleet_health_overview.json,SGT-011,IoT,Fleet Health Assessment,easy,,IoT,iot.list_assets;iot.get_asset_metadata,"Identify all transformers in the fleet currently showing degraded or poor health status. For each flagged asset, retrieve its nameplate data and summarize which units require prioritized attention.","The answer should enumerate degraded assets by ID, include nameplate metadata for each, and rank or flag the units most in need of follow-up."
iot_04_load_current_overload_check.json,SGT-012,IoT,Load Current Monitoring,medium,T-005,IoT,iot.list_sensors;iot.get_sensor_readings,"T-005 has been logging elevated load current readings over the past week. Retrieve the recent sensor data and determine whether current readings are abnormally high relative to the recent baseline, and flag the peak recorded value and when it occurred.","The answer should retrieve load current readings for T-005, compute or reference a recent baseline, state whether readings are elevated above that baseline, and report the peak value and timestamp."
iot_05_sensor_coverage_audit.json,SGT-021,IoT,Sensor Coverage Audit,easy,T-007,IoT,iot.get_asset_metadata;iot.list_sensors,"T-007 is one of the high-voltage transmission units in the fleet. List its asset metadata and the full set of sensors currently installed, and flag whether the available instrumentation covers both electrical and thermal monitoring needs.","The answer should report the transformer's voltage class and rating, list all installed sensor IDs, and summarize whether thermal channels (e.g. winding/oil temperature) and electrical channels (e.g. load current, voltage) are both represented."
iot_06_fleet_status_snapshot.json,SGT-022,IoT,Fleet Status Snapshot,medium,,IoT,iot.list_assets;iot.list_sensors;iot.get_sensor_readings,"Provide a quick fleet-status snapshot. Enumerate the transformers currently in service, then for one representative healthy unit (T-005) and one degraded unit (T-013) surface the available sensor channels and a recent telemetry sample for each channel so a comparative read of operational state can be made.","The answer should list the in-service transformer IDs, then for each of T-005 and T-013 surface the available sensor channels and a recent telemetry sample for each channel, and call out any qualitative difference between the two units."
iot_07_oil_temp_safe_range_check.json,SGT-032,IoT,Sensor Analysis,easy,T-005,IoT,iot.list_sensors;iot.get_sensor_readings,"Transformer T-005 is operating at 98% capacity with no spare available. Retrieve the recent oil-temperature readings, report the recent baseline (mean) and peak value with timestamp, and state whether the peak is elevated relative to the baseline.","The answer should retrieve oil_temp_c readings for T-005 from iot.get_sensor_readings, compute or reference a recent baseline (mean), report the peak value and its timestamp, and assess whether the peak is elevated relative to baseline — all from actual tool output rather than a pre-stated absolute threshold."
iot_08_winding_temp_safe_limit_check.json,SGT-033,IoT,Sensor Analysis,easy,T-005,IoT,iot.list_sensors;iot.get_sensor_readings,"Transformer T-005 is operating near peak load. Retrieve the recent winding-temperature readings, identify the peak value with timestamp, and determine whether it exceeds the documented 95°C operating limit (per docs/knowledge/scenario_generation_support.json).","The answer should retrieve winding_temp_top_c readings for T-005 from iot.get_sensor_readings, report the peak value with its timestamp, compare against the 95°C operating limit named in the prompt, and state whether the limit was breached."
iot_09_pinned_oil_temp_check.json,SGT-035,IoT,Sensor Analysis,easy,T-004,IoT,iot.list_sensors;iot.get_sensor_readings,"Transformer T-004 is operating near peak capacity. Retrieve the recent oil-temperature readings and assess the current operating range — report the minimum, mean, and maximum oil_temp_c observed in the recent window with timestamps for the extremes, and characterize the operating profile.","The answer should retrieve oil_temp_c readings for T-004 from iot.get_sensor_readings and report the min/mean/max with timestamps for the extremes, characterizing the recent operating range — all from actual tool output rather than a pre-stated absolute threshold."
multi_01_end_to_end_fault_response.json,SGT-009,Multi,End-to-End Incident Response,hard,T-015,IoT;FMSR;TSFM;WO,iot.get_sensor_readings;fmsr.analyze_dga;tsfm.forecast_rul;wo.create_work_order,"Transformer T-015 shows rising load and intermittent over-temperature alerts. Investigate recent sensor behavior, infer probable fault mode, estimate short-term risk over 30 days, and issue a maintenance work order recommendation.","The answer should show a multi-step workflow: summarize relevant IoT evidence, map to likely fault mode, provide a 30-day risk or forecast statement, and conclude with a concrete work-order recommendation."
multi_02_dga_to_workorder_pipeline.json,SGT-010,Multi,Cross-Domain Planning,hard,T-020,FMSR;TSFM;WO,fmsr.get_dga_record;fmsr.analyze_dga;tsfm.detect_anomalies;wo.create_work_order,"For transformer T-020, combine DGA diagnostics with thermal anomaly trends to decide whether to schedule immediate outage maintenance or defer with heightened monitoring.","The answer should integrate DGA-based diagnosis and trend/anomaly evidence, make a binary maintenance decision (immediate outage vs deferred monitoring), and provide an actionable work-order or monitoring plan."
multi_03_iot_tsfm_thermal_risk.json,SGT-019,Multi,Thermal Risk Assessment,medium,T-004,IoT;TSFM,iot.list_sensors;iot.get_sensor_readings;tsfm.trend_analysis;tsfm.detect_anomalies;tsfm.forecast_rul,"T-004 has been carrying near-peak load for several weeks. Identify the available sensors, review recent telemetry and any thermal trends, and assess whether the current condition poses a risk to sustained operation over the next 90 days.","The answer should list available sensors for T-004, summarize relevant IoT sensor readings, report the thermal trend direction and rate, flag any anomalies, and give a 90-day operational risk assessment."
multi_04_protection_trip_dga_response.json,SGT-020,Multi,Protection Trip Response,hard,T-016,FMSR;WO,fmsr.get_dga_record;fmsr.analyze_dga;wo.list_fault_records;wo.create_work_order,"T-016 tripped on differential protection overnight. Review its DGA data and fault record history to determine what the available evidence supports, then issue a corrective work order with a priority level appropriate to the overall situation.","The answer should retrieve and analyze DGA data (noting whether the result is diagnostic or inconclusive), reference prior fault history, and produce a corrective work order with a priority level justified by the combined evidence from the protection trip event, fault history, and component health."
multi_05_dga_to_inspection_workorder.json,SGT-029,Multi,DGA Finding to Inspection Work Order,hard,T-019,FMSR;WO,fmsr.get_dga_record;fmsr.search_failure_modes;wo.create_work_order,"T-019 has just had a fresh oil sample analysed and the DGA record is now on file. Review that gas profile, identify the most likely failure mode it points to, and convert that finding into a corrective inspection work order whose priority reflects the implied severity.","The answer should report the stored DGA values for T-019, name the matching failure mode and its severity tier, and create a work order whose priority and scope are explicitly justified by the DGA-derived severity."
multi_06_anomaly_to_rul_to_workorder.json,SGT-030,Multi,RUL Forecast-Driven Work Order,medium,T-020,TSFM;WO,tsfm.forecast_rul;wo.create_work_order,"End-of-quarter fleet review has identified T-020 (critical-tier) as a candidate for accelerated maintenance. Pull the RUL forecast over a 90-day horizon, then create a work order whose scope and priority are explicitly justified by both the current RUL and the projected RUL at the end of that horizon.",The answer should report the RUL forecast for T-020 — including the current RUL and the projected RUL at the 90-day horizon — and create a work order whose priority and scope are explicitly justified by the magnitude of that change (e.g. emergency vs short-term corrective).
multi_07_iot_tsfm_anomaly_burst.json,SGT-025,Multi,Anomaly Burst vs Trend Disambiguation,medium,T-014,IoT;TSFM,iot.list_sensors;tsfm.detect_anomalies;tsfm.trend_analysis,"Operators flagged a short window of unusual top-of-winding temperature readings on T-014 over the last few days. First identify the sensor channels installed on this asset, then run an anomaly check and trend analysis on the winding temperature channel (winding_temp_top_c) to determine whether the deviations form a single burst or a sustained shift.","The answer should first surface the available sensor channels for T-014, then for the winding_temp_top_c channel report the anomaly findings and recent trend direction, and conclude whether the disturbance is an isolated burst or a sustained drift in the underlying signal."
tsfm_01_rul_forecast_maintenance_window.json,SGT-005,TSFM,Remaining Useful Life,easy,T-016,TSFM,tsfm.get_rul;tsfm.forecast_rul,Forecast remaining useful life for transformer T-016 and state whether it can safely operate for the next 180 days without major maintenance.,"The answer should report an RUL estimate in days, compare it against the 180-day horizon, and provide a clear maintenance recommendation."
tsfm_02_hotspot_temp_anomaly.json,SGT-006,TSFM,Anomaly Detection,medium,T-019,TSFM,tsfm.detect_anomalies,Run anomaly detection on transformer T-019 winding temperature for the past 7 days and summarize any persistent abnormal periods.,"The answer should identify abnormal intervals (if any), quantify severity or count of anomalies, and provide a concise interpretation of persistence."
tsfm_03_winding_temp_trend.json,SGT-015,TSFM,Sensor Trend Analysis,medium,T-002,TSFM,tsfm.trend_analysis,"T-002's winding temperature sensor (winding_temp_top_c) has shown irregular readings over the past month. Analyze the recent trend and report whether readings are increasing, decreasing, or stable, along with the rate of change and how well the trend fits the data.","The answer should report the trend direction (increasing, decreasing, or stable), the slope rate per day, and the R-squared fit quality for T-002's winding_temp_top_c sensor."
tsfm_04_rul_anomaly_full_assessment.json,SGT-016,Multi,Comprehensive Health Assessment,hard,T-001,IoT;TSFM,iot.list_sensors;tsfm.get_rul;tsfm.forecast_rul;tsfm.detect_anomalies;tsfm.trend_analysis,"T-001 is a critical substation transformer with no spare unit available. Assess its remaining useful life, identify which sensors are available and check them for anomalies over the past 30 days, and determine whether the current condition supports continued operation through the next planned 90-day maintenance window.","The answer should retrieve available sensors, report an RUL estimate, identify any anomalies in the past 30 days, and give a clear go/no-go recommendation for the 90-day operating window, noting the no-spare constraint."
tsfm_06_rul_current_vs_forecast.json,SGT-026,TSFM,RUL Current vs Forecast Comparison,hard,T-011,TSFM,tsfm.get_rul;tsfm.forecast_rul,"Capital planning needs a defensible RUL view for T-011 ahead of the next budget cycle. Pull the current RUL estimate and a 180-day forecast, compare the two, and state whether the comparison supports deferring replacement or argues for advancing it.","The answer should report the current RUL estimate for T-011, the forecasted RUL at the 180-day horizon, and a recommendation on whether the comparison supports deferring or advancing replacement, citing the magnitude of any change."
wo_01_create_inspection_order.json,SGT-007,WO,Work Order Generation,easy,T-013,WO,wo.create_work_order;wo.estimate_downtime,"Create a preventive inspection work order for transformer T-013 for the next maintenance cycle, including priority, required skills, and estimated downtime.","The answer should produce a structured work order containing asset ID, task summary, priority, required technician skill set, and estimated downtime."
wo_02_corrective_order_after_fault.json,SGT-008,WO,Maintenance Decision,medium,T-017,WO,wo.create_work_order;wo.estimate_downtime,"Given repeated fault indicators on transformer T-017, generate a corrective work order with emergency priority if safety risk is high; otherwise set high priority and justify.","The answer should include a risk-aware priority decision (emergency or high), rationale tied to fault indicators, and a complete corrective work order description."
wo_03_fault_history_review.json,SGT-017,WO,Pre-Maintenance Review,easy,T-009,WO,wo.list_fault_records;wo.list_work_orders,T-009 is approaching its next scheduled maintenance cycle. Review its recent fault history and any open work orders to determine whether anything requires priority escalation before the maintenance window begins.,"The answer should list recent fault records for T-009, summarize open work orders, and state whether any item requires escalation with a brief justification."
wo_04_fault_record_downtime_update.json,SGT-018,WO,Work Order Lifecycle,hard,T-006,WO,wo.list_fault_records;wo.get_fault_record;wo.estimate_downtime;wo.create_work_order;wo.update_work_order,"A fault event was recently logged on T-006. Retrieve the fault details, estimate the expected repair downtime, open a corrective work order, and then mark it as in-progress with the estimated duration recorded.","The answer should retrieve the fault record, estimate downtime, create a corrective work order, and update its status to in-progress with the downtime noted."
wo_05_inspection_closeout.json,SGT-027,WO,Work Order Lifecycle (Open and Close),medium,T-009,WO,wo.create_work_order;wo.update_work_order,"An inspection on T-009 has just been completed in the field with no abnormal condition observed. Open a work order documenting that the inspection took place, then close it out with a note recording the clean inspection result.","The answer should report the newly created work order identifier and its initial status, then confirm a follow-up update that transitions the work order to a closed state with a closure note referencing the clean inspection finding."
wo_06_planned_outage_downtime_estimate.json,SGT-028,WO,Downtime Estimation for Planned Outage,medium,T-018,WO,wo.list_fault_records;wo.estimate_downtime,"Planning needs a downtime estimate for T-018 ahead of an upcoming high-severity corrective outage. Review the recent fault history to characterize the typical event class for this unit, then produce a downtime estimate at the high severity tier with assumptions justified by that history.","The answer should summarize the recent fault record entries for T-018, identify the dominant fault class or repair pattern, and report a downtime estimate in hours at the high severity tier along with the assumptions that justify it."
wo_07_thermal_threshold_corrective_order.json,SGT-034,WO,Work Order Creation,medium,T-003,WO,wo.list_fault_records;wo.estimate_downtime;wo.create_work_order,"T-003 substation main transformer temperature has exceeded threshold (severity: high) with spare procurement pending. Decide on maintenance and create a corrective work order, using historical fault context for the downtime estimate.","A decision on work order creation with a derived priority and minimum playbook fields, using fault history to estimate downtime under a high-severity precondition."