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Gantt chart

generate_gantt_chart
Read-only

Draw a Gantt chart (a project timeline): one bar per task from its start to its end date, optionally coloured by group or phase. Use for project plans, roadmaps and schedules. Returns an image link.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "data": "<data>"
    },
    "name": "generate_gantt_chart"
  }
}

Input Schema

NameRequiredDescriptionDefault
dataYes
themeNo
titleNoTitle shown above the chart.
widthNoImage width in pixels (default 720).
heightNoImage height in pixels (default 480).
brandThemeNoName of a brand theme saved on the user's account (their colours and footer), only when the user asks for their theme. Or "colorblind" for colours that people with colour-vision deficiency can tell apart (anyone can use it).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description usefully adds the return contract ('Returns an image link') and the optional colouring behaviour tied to group/phase, which is behaviour not derivable from annotations. It does not discuss persistence or URL lifetime, leaving a minor gap.

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?

Two sentences, front-loaded with the definition and encoding, followed by use cases and the return value. No filler and nothing repeated from the structured fields.

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?

With no output schema, the description correctly carries the return value ('an image link'). Limits such as the 5000-item cap and size bounds live in the schema, so their absence costs little. It could have said whether the generated link is persistent, but the essentials for a correct call are present.

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 67%, with title, width, height and brandTheme already documented inline. The description goes beyond that by explaining that `group` drives colour segmentation and that start/end bound each bar, semantics the schema does not state. The `theme` enum remains unexplained in both places.

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?

States a specific verb (draw) and resource (Gantt chart), then defines the encoding explicitly: 'one bar per task from its start to its end date'. That encoding is what separates it from the other twenty-plus generate_*_chart siblings, so an agent can route to it on chart type alone.

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?

Gives concrete usage contexts ('project plans, roadmaps and schedules'), which is enough for an agent to decide between this and, say, a calendar heatmap. It stops short of naming an alternative or stating when not to use it, so it is clear context without exclusions.

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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