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create_from_csv_text

Create a Power BI dashboard directly from raw CSV text. Provide the CSV content and get a .pbix file.

Instructions

Create a Power BI dashboard from raw CSV text. This is easier to use from Claude Desktop than base64 input. Does not require an Anthropic API key unless image theming is used elsewhere.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
csv_textYes
filenameNodata.csv

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided. Description only mentions API key requirement and ease of use. Does not disclose behavior on errors, overwriting, or data limits. For a creation tool, more behavioral context would be helpful.

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 three sentences, front-loaded with 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.

Completeness3/5

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

Describes the creation from CSV text and provides usage hints. However, does not mention what the tool returns (despite output schema existing) or clarify if it creates a new dashboard or modifies existing. For a creation tool, complete enough but leaves some ambiguity about output.

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 has no parameter descriptions. Description only mentions 'raw CSV text' implicitly covering csv_text parameter, but does not explain prompt or filename parameters. Insufficient compensation for low schema 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?

Clearly states it creates a Power BI dashboard from raw CSV text. Mentions ease of use over base64, hinting at distinction but does not explicitly differentiate from sibling tools like create_from_csv or create_from_csv_file_path.

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

Usage Guidelines4/5

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

Offers usage guidance: easier from Claude Desktop than base64, and API key not needed unless image theming used elsewhere. Lacks explicit when-not-to-use compared to sibling tools.

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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