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create_from_csv

Creates a Power BI dashboard from a CSV file. Auto-generates KPI cards, bar chart, line chart, pie chart, and slicer without requiring a prompt.

Instructions

Create a Power BI dashboard from a CSV file. Auto-generates KPI cards, bar chart, line chart, pie chart, and slicer — no prompt required. csv_base64: base64-encoded CSV bytes. filename: original filename (used for table naming in the data model). prompt: optional report title override (e.g. "Q4 Sales Overview"). image_base64: optional branding image (base64) to extract theme colors from. Returns: session_id, pbix_base64 (save as .pbit), report_title, columns_detected, domain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
filenameNodata.csv
csv_base64Yes
image_base64No

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations exist, so description carries full burden. It details auto-generation of visuals, optional parameters, and return values. Missing disclosure on destructive actions, rate limits, or authentication needs.

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

Conciseness4/5

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

Concise with front-loaded purpose; each sentence adds value. Could be slightly more efficient by grouping parameters, but overall no wasted text.

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

Completeness4/5

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

Given 4 parameters and output schema, description covers inputs, behavior, and return fields. Missing error cases or limitations, but still sufficiently complete for usage.

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

Parameters4/5

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

Schema has 0% description coverage, but the tool description explains each parameter's purpose (csv_base64, filename, prompt, image_base64), adding meaning beyond the raw schema.

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?

Clearly states it creates a Power BI dashboard from a CSV file, specifies auto-generated visuals, and distinguishes from siblings like create_from_csv_file_path and create_from_csv_text by emphasizing base64 input.

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?

Implied usage for base64 CSV input but lacks explicit when-to-use or when-not-to-use. Sibling tools suggest alternative input methods, but no direct comparison is 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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