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pbi_import_dax_file

Parse a .dax file to bulk-create measures in a Power BI table, with controls for overwriting, format string, display folder, and error handling.

Instructions

Parse a .dax file and bulk-create measures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
tableNoMeasures
overwriteNo
stop_on_errorNo
default_format_stringNo
default_display_folderNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It fails to disclose behavior beyond basic action: no mention of overwrite handling, error handling, output format, or side effects on existing measures.

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

Conciseness3/5

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

Extremely concise (one sentence), but at the cost of completeness. It is not verbose, but under-specification makes it less useful.

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?

Given 6 parameters, 0% schema description, and presence of output schema, the description is insufficient. It doesn't explain what the output contains or how parameters affect behavior. The tool performs a non-trivial operation and needs more detail.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description provides no parameter explanations. Parameters like 'path', 'table', 'overwrite', 'stop_on_error', etc., are left undocumented, forcing the agent to infer or guess.

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

Purpose4/5

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

The description clearly states the tool parses a .dax file and bulk-creates measures. It distinguishes from related tools like pbi_create_measure by emphasizing bulk operation, but doesn't explicitly differentiate from pbi_create_measures or other import tools.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like pbi_create_measures or pbi_import_excel_workbook. No prerequisites or context provided.

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

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