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Facility Operations AI Tools

Facility Operations uses a shared AI tool surface to help agents and product workflows review assets, alarms, work orders, field inspections, energy records, facility analytics, and evidence packages.

Use this page when an Agent workflow or backend integration needs a code-backed map of the available tools and the expected review path.

Tool layers

LayerPrimary usersAccess boundaryOutput type
/mcp/base/ MCP toolsAgent clients, copilots, workflow orchestratorsbase.read, base.compute.run, and selected base.action.write scopesAsset context, documents, status summaries, data quality, analysis output, action drafts
/api/v1/ai/* backend proxyFacility Operations UI and backend servicesProduct service authentication and tenant permissionsEnergy analysis, equipment knowledge, knowledge graph review, root-cause and impact summaries
/ai/* AI Engine endpointsFacility, SmartFM, energy, and FMS workflowsProduct service authentication and workflow permissionsEnergy profile, benchmark, Advisor chat, VAV diagnostic summary, chiller efficiency, work-order text extraction, simulation result
/api/v1/* module APIsFacility Operations UI and backend integrationProduct RBAC scopesWork orders, worker tasks, inspections, operations read model, asset center, model assets, energy, FMS, ESG, Green Mark evidence

Use MCP tools when an Agent workflow needs governed access across operating records. Use AI Engine endpoints when the product workflow runs a controlled analysis, diagnosis, text-structuring, or simulation task.

MCP endpoint and scopes

EndpointScopeUse
/mcp/base/base.readRead asset context, equipment status, documents, connector state, compliance files, workflow tasks, and action-plan history.
/mcp/base/base.compute.runRun approved analysis such as energy, spatial, forecast, anomaly, simulation, optimization, and report generation tasks.
/mcp/base/base.action.writeCreate a work-order draft after the responsible operator approves the proposed action.

Keep early Agent workflows read-only. Add write scope after the customer defines owner approval, audit capture, and rollback handling.

MCP tool map

Operating context and evidence

ToolPrimary jobTypical question
get_equipment_statusRead current equipment state, latest sensor readings, active alerts, and recent work orders."What is happening with this pump now?"
get_equipment_documentsRetrieve manuals, SOPs, drawings, maintenance records, and related equipment documents."Which SOP should the technician check?"
search_documentsSearch ECM documents by keyword, type, or related entity."Find the latest inspection procedure for this room."
query_knowledgeQuery equipment types, failure modes, repair actions, diagnostic rules, and maintenance schedules."What are common causes for this alarm?"
get_action_plan_historyReview previous AI action plans, workflow approval status, execution outcomes, and linked documents."Have we tried this fix before?"
get_pending_tasksRead approval, review, or signature tasks from the workflow system."Which maintenance reports are still awaiting approval?"
get_compliance_documentsRetrieve certificates, audit reports, and evidence packs by standard or topic."Show evidence documents related to this clause."
get_expiring_documentsFind documents approaching retention end date or periodic review."Which facility documents need review this month?"

Data and connector readiness

ToolPrimary jobTypical question
list_connectorsList configured data connectors with status, source, and last sync time."Which BMS or CMMS connectors are active?"
check_data_qualityReview completeness, accuracy, consistency, timeliness, and top violations."Is this dataset ready for an operations summary?"
troubleshoot_connectorDiagnose connector errors and recent sync logs."Why are meter readings stale?"
import_dataImport and process external REST or CSV records for analysis."Load this exported maintenance history for review."

Facility analysis

ToolPrimary jobTypical question
calculate_emissionsCalculate greenhouse-gas emissions by scope with regional default factors."What is the estimated carbon footprint for this period?"
analyze_spare_partsReview spare-parts usage, slow-moving inventory, stockout risk, and reorder guidance."Which parts need procurement attention?"
forecast_timeseriesForecast time-series values using approved forecasting methods."How may this load trend change next week?"
detect_anomalyScore data points for anomalies."Which readings look unusual?"
fit_distributionFit probability distributions to observed failure, service, or arrival data."What distribution describes these repair durations?"
find_changepointsDetect structural breaks in a time series."When did this energy pattern change?"
generate_reportGenerate a status, alert, equipment, or simulation report."Create a reviewed summary for this shift handover."

Spatial and facility movement

ToolPrimary jobTypical question
analyze_spatial_anomalyDetect unusual values in spatial heatmap sensor data."Where are the hot spots on this floor?"
compare_zonesCompare statistics between two zones or floors."How does floor 1 compare with floor 2?"
recommend_sensor_placementRecommend sensor locations based on coverage gaps and confidence."Where should we add sensors?"
find_pathFind navigation paths across a building with multi-floor and accessibility options."How should a worker reach this equipment?"

Action drafting

ToolPrimary jobTypical question
create_work_orderCreate a work-order draft from an approved recommendation."Draft the work order for the technician."

create_work_order should be reached only after the workflow has the correct write scope and an operator has approved the action text, owner, location, asset, priority, and evidence references.

AI Engine and backend proxy tools

EndpointPurposeInputs to prepareOutput to review
/api/v1/ai/energy/analyze and /ai/energy/analyzeAnalyze facility or equipment energy readings.Meter mapping, time window, asset context, operating schedule, weather or load context when available.Anomaly notes, recommendations, carbon estimate, and evidence references.
/api/v1/ai/energy/profile and /ai/energy/profileBuild an equipment energy profile.Equipment ID, recent readings, baseline window, equipment type, operating mode.Profile summary, typical range, anomaly indicators, and recommended checks.
/api/v1/ai/energy/benchmarks and /ai/energy/benchmarksCompare energy performance against benchmark references.Building or facility type, region, time window, normalized consumption inputs.Benchmark category, variance, and review notes.
/ai/advisor/chatRun a facility management assistant conversation with optional facility context.User question, tenant context, asset or alert context, evidence snippets.Answer draft, tool-use trace, missing evidence, and suggested next checks.
/api/v1/ai/knowledge/equipment/{type}Retrieve equipment knowledge by type.Equipment type and language preference.Failure modes, maintenance procedures, and knowledge snippets.
/api/v1/ai/graph/root-causeReview knowledge graph context for possible root causes.Alert, asset, related systems, inspection findings, work records.Root-cause candidates and supporting graph paths.
/api/v1/ai/graph/impactReview impacted systems or assets.Asset or event context, graph relationships, operating boundary.Impacted assets, systems, and review notes.
/ai/llm-pdm/structure-workorderStructure free-text maintenance or inspection feedback.Raw text, equipment context, work-order template, language.Structured fields, extracted findings, confidence, and reviewer corrections.
/ai/hvacops/vav/diagnostics/summarySummarize VAV diagnostic state.VAV readings, setpoints, airflow, temperature, time window.Diagnostic summary, affected zones, and recommended engineering checks.
/ai/hvacops/chiller/efficiencyReview chiller efficiency.Chiller load, COP inputs, ambient condition, operating state, equipment metadata.Efficiency summary, comparison notes, and operating review input.
/ai/sim/extract-kpis, /ai/sim/build-idf, /ai/sim/runPrepare and run EnergyPlus-oriented building simulation workflows.Building geometry, zones, materials, schedules, weather, meter data, operating assumptions.KPI list, IDF payload, run status, simulation outputs, and assumptions.

Daily operations triage

list_connectors
-> check_data_quality
-> get_equipment_status for affected assets
-> search_documents or get_equipment_documents for supporting procedures
-> generate_report for shift review

Use this sequence when the operator needs a practical summary of current issues, source freshness, and next checks.

Alert-to-work-order review

get_equipment_status
-> query_knowledge for failure modes and checks
-> get_action_plan_history for prior decisions
-> /api/v1/ai/graph/root-cause or Advisor chat
-> create_work_order after owner approval

The reviewed output should separate confirmed evidence, likely checks, missing data, and the draft work-order fields.

Energy and sustainability review

list_connectors
-> check_data_quality
-> /ai/energy/profile or /ai/energy/analyze
-> calculate_emissions when carbon input is requested
-> generate_report for internal review

Use this sequence for meter-driven review, ESG preparation, and facility performance discussions. Confirm tariff, weather, meter mapping, and operating schedule assumptions before external use.

Green Mark evidence preparation

get_compliance_documents
-> get_expiring_documents
-> search_documents for clause evidence
-> check_data_quality for source records
-> generate_report or evidence-pack assembly in the product workflow

Use this sequence to organize source evidence, reviewer notes, and missing items for project owners.

FMS diagnostic review

get_equipment_status
-> get_equipment_documents
-> query_knowledge
-> /ai/hvacops/vav/diagnostics/summary or /ai/hvacops/chiller/efficiency
-> reviewed maintenance or engineering summary

Use this sequence for chiller, HVAC, VAV, and subsystem reviews when site data is mapped and current.

Data requirements

Facility Operations AI tools are strongest when the data package includes:

  • stable tenant, site, floor, zone, space, and equipment IDs;
  • source-system IDs for BMS, CMMS, inspection, meter, ESG, and evidence systems;
  • timestamped sensor readings, meter readings, alerts, inspection records, and work-order updates;
  • source freshness and DFS quality notes;
  • equipment manuals, SOPs, drawings, maintenance records, and compliance evidence;
  • meter units, carbon factors, tariff assumptions, weather context, and operating schedule where relevant;
  • model asset and twin-model binding IDs when spatial context is required;
  • approval owner for work-order drafts, evidence packs, and externally shared reports.

Use Connect BMS Data to a Facility Twin and Fuse Inspection, Work Order, and Sensor Data before workflows that depend on fused operational evidence.

Output review checklist

  • Tenant, site, asset, meter, and source-system IDs are visible.
  • Connector state and data freshness are included when source data is used.
  • Work-order and inspection records include owner, status, timestamp, and audit reference.
  • Energy and carbon outputs show assumptions, time window, units, and source mapping.
  • Diagnostic output is linked to supporting readings, documents, and operating context.
  • Green Mark or ESG evidence remains in an internal review path until project owners approve external use.
  • Action drafts remain separate from approved work orders.
  • Operator corrections and work-order outcomes are captured for later workflow improvement.