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semantic-model-consumption

✓ Official729

by microsoft · part of microsoft/skills-for-fabric

Execute raw DAX queries and inspect metadata of Microsoft Fabric Power BI semantic models via the MCP server ExecuteQuery tool. Use when the user already knows the DAX to write, wants to run EVALUATE statements, or needs to inspect model metadata (tables, columns, measures, relationships, hierarchies) using INFO functions. For natural-language business questions (where you generate the DAX), use `fabriciq`. For creating, deploying, or managing semantic model definitions, use `semantic-model-auth

🧩 One of 7 skills in the microsoft/skills-for-fabric package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding.

  • GitHub Copilot CLI / VS Code: invoke the check-updates skill.
  • Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version.
  • Skip if the check was already performed earlier in this session.

CRITICAL NOTES

  1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
  2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering

Power BI Semantic Model Consumption

Table of Contents

TaskReferenceNotes
Finding Workspaces and Items in FabricCOMMON-CLI.md § Finding Workspaces and Items in FabricMandatoryREAD link first [needed for finding workspace id by its name or item id by its name, item type, and workspace id]
Fabric Topology & Key ConceptsCOMMON-CORE.md § Fabric Topology & Key ConceptsHierarchy; Finding Things in Fabric
Environment URLsCOMMON-CORE.md § Environment URLsProduction (Public Cloud)
Authentication & Token AcquisitionCOMMON-CORE.md § Authentication & Token AcquisitionWrong audience = 401; covers token audiences, delegated vs app permissions, OAuth flows, identity types, and Entra app registration
Core Control-Plane REST APIsCOMMON-CORE.md § Core Control-Plane REST APIsIncludes workspace/item CRUD, resolve-by-name, pagination, LRO polling, and rate-limiting patterns
OneLake Data AccessCOMMON-CORE.md § OneLake Data AccessRequires storage.azure.com token, not Fabric token; covers URL structure, ADLS Gen2 parity, and shortcuts
Job ExecutionCOMMON-CORE.md § Job ExecutionRun On-Demand Job; Get / Cancel Job
Capacity ManagementCOMMON-CORE.md § Capacity ManagementList Capacities; Assign Workspace to Capacity
Gotchas, Best Practices & TroubleshootingCOMMON-CORE.md § Gotchas, Best Practices & TroubleshootingCommon Errors; Best Practices
Tool Selection RationaleCOMMON-CLI.md § Tool Selection Rationale
Authentication RecipesCOMMON-CLI.md § Authentication Recipesaz login flows, environment detection, token acquisition, and debugging
Fabric Control-Plane API via az restCOMMON-CLI.md § Fabric Control-Plane API via az restAlways pass --resource; includes workspace/item operations, pagination, and LRO patterns
OneLake Data Access via curlCOMMON-CLI.md § OneLake Data Access via curlUse curl not az rest (different token audience); file list/read/upload/delete and directory creation
SQL / TDS Data-Plane AccessCOMMON-CLI.md § SQL / TDS Data-Plane Accesssqlcmd (Go) connect, query, CSV export, service principal auth, and connection parameter discovery
Job Execution (CLI)COMMON-CLI.md § Job ExecutionRun notebooks/pipelines, refresh semantic models, check/cancel jobs
OneLake ShortcutsCOMMON-CLI.md § OneLake ShortcutsCreate a Shortcut; List Shortcuts; Delete a Shortcut
Capacity Management (CLI)COMMON-CLI.md § Capacity ManagementList Capacities; Assign Workspace to Capacity
Composite RecipesCOMMON-CLI.md § Composite RecipesEnd-to-end workspace→lakehouse→file, SQL endpoint→query, and notebook execution recipes
Gotchas & Troubleshooting (CLI-Specific)COMMON-CLI.md § Gotchas & Troubleshooting (CLI-Specific)
Quick ReferenceCOMMON-CLI.md § Quick Referenceaz rest Template; Token Audience ↔ CLI Tool Matrix
PrerequisitesSKILL.md § Prerequisites
Must/Prefer/AvoidSKILL.md § Must/Prefer/AvoidGuardrails for read-only semantic model usage. MUST DO; PREFER; AVOID
Metadata DiscoverySKILL.md § Metadata DiscoveryINFO.VIEW.* and INFO.* functions.
Recommended Discovery OrderSKILL.md § Recommended Discovery OrderPreferred order for metadata exploration
Frequently Used INFO FunctionsSKILL.md § Frequently Used INFO FunctionsHigh-usage function list for first-pass discovery
Complete INFO Function Catalog (Dynamic)discovery-queries.md § Complete INFO Function Catalog (Dynamic)
Metadata Object → INFO Function MapSKILL.md § Metadata Object → INFO Function MapInlined mapping for object-focused discovery
Query ExecutionSKILL.md § Query ExecutionExecuteQuery usage shape
TroubleshootingSKILL.md § TroubleshootingResolve common execution and metadata issues
ExamplesSKILL.md § ExamplesSample Metadata Query; Sample Data Query
Scope Estimation Queriesdiscovery-queries.md § Scope Estimation Queries
INFO Output Columnsdiscovery-queries.md § INFO Output ColumnsINFO.VIEW.* (preferred first-pass metadata); Critical INFO.* (deep metadata / diagnostics)
Narrowing Results (Projection + Filtering)discovery-queries.md § Narrowing Results (Projection + Filtering)
Deep Metadata Queriesdiscovery-queries.md § Deep Metadata Queries
Dependency Discoverydiscovery-queries.md § Dependency DiscoveryDependency rowset for a DAX query; Dependency rows scoped to a measure; Reverse dependencies (what references a measure)

Must/Prefer/Avoid

MUST DO

  • Call MCP tools for discovery and execution — use DiscoverArtifacts to find the semantic model GUID and ExecuteQuery to run DAX queries. These are MCP tool invocations, not shell commands. Do NOT use az rest, Get-Command, or PowerShell scripts to discover or invoke them.
  • Keep this skill read-only: metadata discovery and analytical DAX queries only.
  • Treat DAX data queries and INFO.VIEW.* as available to any user with read access to the semantic model; assume other INFO.* functions may require elevated permissions.
  • Resolve workspace and semantic model item identity dynamically; do not hardcode IDs.
  • Use DAX INFO.VIEW.* / INFO.* for metadata discovery before writing data queries.

PREFER

  • Validate semantic model scope early (artifactId) before iterative query refinement.
  • Discover semantic model schema progressively: use filtered and projected INFO.VIEW.* / INFO.* calls (e.g., SELECTCOLUMNS + FILTER) to fetch only the information directly relevant to the current task instead of retrieving the full schema up front. See discovery-queries.md § Narrowing Results (Projection + Filtering).
  • Keep guidance provider-agnostic so tool endpoint migration is low risk.

AVOID

  • Model-change operations in this skill.
  1. Run the discovery-queries.md § Scope Estimation Queries to estimate metadata scope (table, column, measure, and relationship counts) before deep discovery.
  2. Start with INFO.VIEW.TABLES() for a fast table inventory.
  3. Expand to INFO.VIEW.COLUMNS() and INFO.VIEW.MEASURES() for semantic details.
  4. Use INFO.VIEW.RELATIONSHIPS() to validate joins and filter behavior.
  5. Use the full query catalog in discovery-queries.md for deeper patterns.

Frequently Used INFO Functions

  • INFO.VIEW.TABLES
  • INFO.VIEW.MEASURES
  • INFO.VIEW.COLUMNS
  • INFO.VIEW.RELATIONSHIPS
  • INFO.PARTITIONS
  • INFO.MODEL
  • INFO.STORAGETABLECOLUMNSEGMENTS
  • INFO.DEPENDENCIES
  • INFO.EXPRESSIONS
  • INFO.ROLES
  • INFO.STORAGETABLECOLUMNS
  • INFO.CALCULATIONGROUPS
  • INFO.CALCULATIONITEMS
  • INFO.CULTURES
  • INFO.OBJECTTRANSLATIONS
  • INFO.USERDEFINEDFUNCTIONS
  • INFO.REFRESHPOLICIES
  • INFO.ATTRIBUTEHIERARCHYSTORAGES
  • INFO.COLUMNPARTITIONSTORAGES
  • INFO.COLUMNSTORAGES
  • INFO.DICTIONARYSTORAGES
  • INFO.HIERARCHYSTORAGES
  • INFO.PARTITIONSTORAGES
  • INFO.RELATIONSHIPINDEXSTORAGES
  • INFO.RELATIONSHIPSTORAGES
  • INFO.SEGMENTMAPSTORAGES
  • INFO.SEGMENTSTORAGES
  • INFO.STORAGEFOLDERS
  • INFO.STORAGEFILES
  • INFO.TABLESTORAGES
  • INFO.GENERALSEGMENTMAPSEGMENTMETADATASTORAGES
  • INFO.DELTATABLEMETADATASTORAGES
  • INFO.PARQUETFILESTORAGES
  • INFO.STORAGETABLES

Metadata Object → INFO Function Map

Metadata ObjectPrimary INFO functions
ModelINFO.MODEL
TablesINFO.VIEW.TABLES
ColumnsINFO.VIEW.COLUMNS, INFO.GROUPBYCOLUMNS, INFO.RELATEDCOLUMNDETAILS
MeasuresINFO.VIEW.MEASURES, INFO.FORMATSTRINGDEFINITIONS, INFO.DETAILROWSDEFINITIONS
RelationshipsINFO.VIEW.RELATIONSHIPS
PartitionsINFO.PARTITIONS, INFO.EXPRESSIONS, INFO.QUERYGROUPS, INFO.REFRESHPOLICIES, INFO.DATACOVERAGEDEFINITIONS
Security roles & permissionsINFO.ROLES, INFO.TABLEPERMISSIONS, INFO.COLUMNPERMISSIONS
HierarchiesINFO.HIERARCHIES, INFO.LEVELS, INFO.ATTRIBUTEHIERARCHIES, INFO.VARIATIONS
Calculation groups/itemsINFO.CALCULATIONGROUPS, INFO.CALCULATIONITEMS, INFO.CALCULATIONEXPRESSIONS
PerspectivesINFO.PERSPECTIVES, INFO.PERSPECTIVETABLES, INFO.PERSPECTIVECOLUMNS, INFO.PERSPECTIVEHIERARCHIES, INFO.PERSPECTIVEMEASURES
CalendarsINFO.CALENDARS, INFO.CALENDARCOLUMNGROUPS, INFO.CALENDARCOLUMNREFERENCES
CulturesINFO.CULTURES
Object translationsINFO.OBJECTTRANSLATIONS
FunctionsINFO.USERDEFINEDFUNCTIONS
Dependencies / lineageINFO.DEPENDENCIES, INFO.CHANGEDPROPERTIES, INFO.EXCLUDEDARTIFACTS
Storage internals / sizeINFO.STORAGEFOLDERS, INFO.STORAGEFILES, INFO.TABLESTORAGES, INFO.COLUMNSTORAGES, INFO.PARTITIONSTORAGES, INFO.SEGMENTMAPSTORAGES, INFO.DICTIONARYSTORAGES, INFO.COLUMNPARTITIONSTORAGES, INFO.SEGMENTSTORAGES, INFO.RELATIONSHIPSTORAGES, INFO.RELATIONSHIPINDEXSTORAGES, INFO.ATTRIBUTEHIERARCHYSTORAGES, INFO.HIERARCHYSTORAGES, INFO.GENERALSEGMENTMAPSEGMENTMETADATASTORAGES, INFO.DELTATABLEMETADATASTORAGES, INFO.PARQUETFILESTORAGES, INFO.STORAGETABLES, INFO.STORAGETABLECOLUMNS, INFO.STORAGETABLECOLUMNSEGMENTS

Query Execution

Use the FabricIQ MCP server tools directly — call them as MCP tool invocations:

ParameterDescription
artifactIdGUID of the target semantic model
daxQueriesArray of 1–4 DAX queries (each must contain a single EVALUATE statement)
maxRowsOptional. Default 250, max 1,000 rows per query

How to find the artifact ID

  1. Preferred: Call DiscoverArtifacts (MCP tool) with searchQuery set to the model name and artifactTypes: ["SemanticModel"].
  2. Fallback only if MCP discovery is unavailable: Resolve via Fabric REST (az rest) — list items of type SemanticModel in the workspace and filter by displayName.

Executing a query

Call the ExecuteQuery MCP tool directly:

ExecuteQuery(
  artifactId = "<SEMANTIC_MODEL_GUID>",
  daxQueries = ["EVALUATE SUMMARIZECOLUMNS(...)"]
)

Getting the schema first

Call GetSemanticModelSchema(artifactId = "<SEMANTIC_MODEL_GUID>") to retrieve table/column/measure definitions before writing DAX.

Examples

For the full query catalog (including dependency patterns), see discovery-queries.md.

Sample Metadata Query

EVALUATE
INFO.VIEW.TABLES()
ORDER BY [Name]

Sample Data Query

DEFINE
MEASURE 'Sales'[Total Sales] = SUM('Sales'[Amount])
EVALUATE
SUMMARIZECOLUMNS(
    'Customer'[Customer Name],
    "Total Sales", [Total Sales]
)
ORDER BY [Total Sales] DESC