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create_line_3d

Plot 3D trajectories from tabular data, connecting points in space with optional color-coded categories. Ideal for visualizing routes, geographic paths, or multi-dimensional trends.

Instructions

Interactive 3D line / trajectory chart (WebGL, orbit-able).

Connects points through 3-space — a trajectory. Split into one line per category via color_column.

Ideal for: a route through lat/lon/altitude, a metric evolving across region × time, multi-decade demographic trajectories.

Returns: {filepath, title, rows}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesRow dicts
themeNo'dark', 'light', or 'infographic'dark
titleNoChart title
filenameNoOutput filename (without .html)line_3d
x_columnYesColumn for the X axis
y_columnYesColumn for the Y axis
z_columnYesColumn for the Z axis (depth)
color_columnNoOptional column splitting points into separate lines

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. Discloses interactivity (WebGL, orbit-able) and return structure ({filepath, title, rows}). However, does not clarify side effects (e.g., file saving) or data handling beyond the return.

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?

Five sentences, well-structured, front-loaded with key information. No unnecessary words or redundancy.

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?

Describes purpose, ideal use, return value, and key behavior. Lacks details on parameter constraints (e.g., data must contain columns), but schema covers those. Good overall coverage for a tool with moderate complexity.

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?

Schema coverage is 100%, so description adds marginal value. It clarifies that color_column splits points into separate lines, adding context beyond the schema's description. Adequate but not exceptional.

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 it creates an 'Interactive 3D line / trajectory chart' (specific verb and resource). It distinguishes from sibling 3D charts by emphasizing trajectory and splitting by color_column.

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?

Explicit ideal use cases are given (e.g., route through lat/lon/altitude, metric across region × time). Does not explicitly state when not to use or list alternatives, but the examples are clear and helpful.

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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