Skip to main content
Glama
nguyenanhducdeveloper86

mcp-powerBI-to-report

Execute DAX query with CEO defaults

execute_dax_query

Execute DAX queries against Power BI semantic models. Optionally specify workspace and model; defaults keep the connection alive to reduce login prompts.

Instructions

Execute a DAX query against a Power BI semantic model using default workspace/model when omitted. This keeps the Microsoft Modeling MCP process alive to reduce repeated login prompts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesDAX query text, for example EVALUATE ROW("Revenue", SUM(Visits[TreatmentCost])).
maxRowsNo
workspaceNameNoPower BI workspace name. Defaults to POWERBI_DEFAULT_WORKSPACE.
timeoutSecondsNo
semanticModelNameNoSemantic model name. Defaults to POWERBI_DEFAULT_SEMANTIC_MODEL.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full responsibility. It adds the behavioral note about keeping the Microsoft Modeling MCP process alive to reduce login prompts, but omits details on side effects, idempotency, or permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with two sentences that front-load the main purpose. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 5 parameters and no output schema, yet the description does not explain the return format, error handling, or any post-execution behavior. The description is too brief to be considered complete given the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 60%, and the description does not add extra meaning beyond the schema's parameter descriptions. The mention of 'using default workspace/model when omitted' relates to default behavior rather than parameter semantics, so it provides minimal additional value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (Execute a DAX query) and the resource (Power BI semantic model), and mentions default workspace/model behavior, which distinguishes it from sibling tools like execute_dax_dashboard_query or execute_dax_report_query.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for general DAX queries and mentions a keep-alive benefit, but does not explicitly state when to use this tool versus the dashboard or report query variants, nor does it specify when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nguyenanhducdeveloper86/mcp-powerBI-to-report'

If you have feedback or need assistance with the MCP directory API, please join our Discord server