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generate_dashboard

Create an interactive HTML dashboard from CSV or Excel files. Analyzes data to produce charts, statistics, correlations, insights, and a sortable table for easy data exploration.

Instructions

Generate a beautiful, interactive HTML dashboard from a CSV or Excel file.

Analyzes the data and produces charts, statistics, correlations, insights, and a sortable data table — all in a single self-contained HTML file.

Use this tool when the user wants to visualize, explore, analyze, or create a dashboard from a CSV, TSV, XLS, or XLSX file.

Args: file_path: Absolute path to a CSV, TSV, XLS, or XLSX file. output_path: Where to save the HTML dashboard. Defaults to .html. open_browser: Whether to auto-open the dashboard in the browser.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
output_pathNo
open_browserNo
Behavior4/5

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

With no annotations, the description carries the full burden. It states the tool analyzes data and produces a self-contained HTML file, implying it is a read-only operation. It discloses default behaviors for output_path and open_browser. However, it does not mention potential side effects (e.g., file overwriting) or resource limits, but the overall behavior is reasonably transparent.

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?

The description is well-structured: a lead sentence, a capabilities paragraph, a usage line, and an Args list. It is not overly verbose and every sentence adds value. The Args section is clear. Minor improvement could be to combine the first two sentences, but overall it is efficient.

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 the tool's moderate complexity (3 params, no output schema, no siblings), the description covers the core functionality, parameter details, and usage context. It explains what the output is (HTML dashboard) and its features. The description is complete enough for an agent to select and invoke correctly.

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 coverage is 0%, so the description must compensate. The Args section adds key details: file_path must be an absolute path to CSV/TSV/XLS/XLSX, output_path defaults to <input>.html, open_browser defaults to true. This meaningfully augments the schema, though some details like expected file size limits are missing.

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?

The description clearly states that the tool generates a beautiful, interactive HTML dashboard from CSV/Excel files. It specifies the verb 'generate', the resource 'dashboard', and lists the capabilities (charts, statistics, correlations, sortable table). This is specific and distinguishes it clearly even without siblings.

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?

The description explicitly says 'Use this tool when the user wants to visualize, explore, analyze, or create a dashboard from a CSV, TSV, XLS, or XLSX file.' This provides clear context for when to use the tool. Since there are no siblings, absence of when-not-to-use or alternatives is acceptable.

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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