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create_timeline

Generate a horizontal timeline/Gantt chart from events with start and end times, auto-placing overlapping events on separate rows. Supports titles, themes, and custom colors.

Instructions

Create a timeline / Gantt chart diagram.

Generates a horizontal bar chart showing events/tasks over time. Overlapping events are automatically placed on separate rows.

Args: events: List of events with label, start, end, and optional color title: Optional diagram title output_path: Optional output file path (default: /tmp/timeline.excalidraw) theme: Color theme - "light" or "dark"

Returns: Absolute path to the generated .excalidraw file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
themeNolight
titleNo
eventsYes
output_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose key behaviors: it generates a horizontal bar chart, auto-lays-out overlapping events, uses a default output path, and returns an absolute path. However, it does not mention potential side effects like overwriting an existing file at the output path, which would be relevant for a file-creating tool.

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 well-structured and concise, with a clear opening sentence, a short behavior note, and an organized Args/Returns section. Every line adds useful information; there is no filler or repetition of schema details.

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?

For a tool with 4 parameters, no annotations, and no output schema, the description covers the tool's purpose, parameter semantics, default behavior, and return value. It is slightly incomplete on constraints like numeric time units and whether existing files are overwritten, but an agent can generally call this tool correctly with the information provided.

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?

The schema description coverage is reported as 0%, so the description must compensate. It does so by listing every parameter — events with label/start/end/optional color, title, output_path with default, and theme with allowed values. It omits type/format details such as how start/end numbers are interpreted, but the description adds meaningful semantics beyond the bare schema.

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 identifies the tool as creating a timeline/Gantt chart, with a specific resource (a horizontal bar chart over time) and behavior (auto-separating overlapping events). This distinguishes it clearly from sibling diagram tools like create_flowchart or create_sequence_diagram.

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 the tool — when a timeline or Gantt chart is needed — but it does not explicitly state when to prefer this over alternatives or mention any exclusions. The usage context is clear from the purpose but not spelled out as guidance.

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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