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add_calculated_column

Add custom DAX calculated columns to Power BI tables, enabling tailored metrics and analysis within your semantic model.

Instructions

Add a DAX calculated column to a table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daxYesDAX expression for the column
nameYes
tableYes
sessionIdYes
Behavior2/5

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

With no annotations provided, the description must disclose behavioral details. It only states the action ('Add a DAX calculated column') but does not mention that this is a mutating operation, whether it requires an existing table, how it affects the model, or potential side effects.

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 a single, front-loaded sentence with no filler words. It is maximally concise and easy to parse.

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 4 required parameters and no output schema or annotations, yet the description provides minimal operational context. It does not explain how the parameters relate, expected behavior, or any return values, leaving the agent without sufficient guidance for correct invocation.

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

Parameters2/5

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

Schema description coverage is only 25% (only 'dax' has a description). The tool description adds no parameter-level meaning beyond what the schema already implies, failing to explain the 'table', 'name', or 'sessionId' parameters. It does not compensate for the low coverage.

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 uses a specific verb ('Add') and resource ('DAX calculated column') with a target ('table'), which clearly states what the tool does. It distinguishes from siblings like add_measure and add_calculated_table by the explicit 'column' and 'DAX' terms, though it does not elaborate on context.

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 is provided on when to use this tool versus alternatives such as add_measure or add_custom_column. The description simply states the action without any contextual hints, prerequisites, or exclusions.

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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