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excel_chart_from_data_range

Create Excel charts from existing data ranges to visualize financial information for analysis and reporting purposes.

Instructions

Create a native Excel chart from existing Excel data (requires data to be pre-loaded)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputFileNameYesOutput chart file name
chartTypeYesType of chart
dataMatrixYes2D array of data with headers in first row and first column
chartTitleNoTitle for the chart
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions a prerequisite ('requires data to be pre-loaded') but lacks details on permissions, output format (e.g., file type, location), error handling, or whether it modifies existing files. For a tool that creates files, this is a significant gap in transparency.

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 front-loads the core action ('Create a native Excel chart') and includes a key constraint ('requires data to be pre-loaded'). There is no wasted wording, making it appropriately sized and well-structured.

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?

Given the complexity of creating a chart with 4 parameters, no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose and a prerequisite but lacks details on behavioral aspects, output handling, or error cases, leaving gaps in completeness for a tool that generates files.

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 input schema has 100% description coverage, so the schema already documents all parameters (outputFileName, chartType, dataMatrix, chartTitle). The description adds no additional meaning beyond the schema, such as examples or constraints, but the high schema coverage justifies the baseline score of 3.

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 a native Excel chart') and the resource ('from existing Excel data'), making the purpose evident. However, it does not explicitly differentiate from sibling tools like 'excel_create_native_chart' or 'excel_create_business_chart', which might have overlapping functionality, so it misses full sibling distinction.

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?

The description implies when to use it by stating 'requires data to be pre-loaded', suggesting it's for data already in Excel format. However, it provides no explicit guidance on when not to use it or alternatives among the many sibling tools, leaving usage context partially implied rather than fully clear.

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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