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excel_create_native_chart

Generate Excel charts for data visualization by specifying chart type, categories, series data, and output file name.

Instructions

Create a native Excel chart file with data visualization

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileNameYesOutput Excel file name (e.g., 'sales-chart.xlsx')
chartTypeYesType of chart to create
chartTitleNoTitle for the chart
categoriesYesCategory names (x-axis labels)
seriesYesData series for the chart
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Create a native Excel chart file' but doesn't mention output format details (e.g., file location, overwrite behavior), permissions required, or error handling. This is inadequate for a tool that creates files, as it lacks critical operational context.

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, efficient sentence that directly states the tool's purpose without any wasted words. It is front-loaded and appropriately sized for the complexity of the tool, earning a high score for conciseness.

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 the complexity of creating a file and the lack of annotations and output schema, the description is insufficient. It doesn't explain what the tool returns (e.g., file path, success status) or provide behavioral details like error cases. For a tool with 5 parameters and no structured output information, more context is needed to guide the agent effectively.

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?

The schema description coverage is 100%, meaning all parameters are documented in the input schema. The description adds no additional meaning beyond the schema, such as explaining parameter interactions or constraints. However, since the schema is comprehensive, a baseline score of 3 is appropriate as the description doesn't need to compensate for gaps.

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 action ('Create') and resource ('native Excel chart file with data visualization'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'excel_create_business_chart' or 'excel_create_financial_chart', which appear similar, so it doesn't reach the highest score.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools related to Excel chart creation (e.g., 'excel_create_business_chart', 'excel_create_financial_chart'), there is no indication of context, prerequisites, or exclusions, leaving the agent without usage direction.

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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