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Kirachon

Context Engine MCP Server

by Kirachon

Visualize Plan

visualize_plan
Read-onlyIdempotent

Convert an implementation plan into Mermaid diagrams for visualizing dependencies, architecture, or Gantt timeline.

Instructions

Generate diagrams from an implementation plan.

Use this to visualize the plan's structure in different ways.

Diagram types:

  • dependencies: Shows step dependencies as a DAG (who blocks whom)

  • architecture: Shows the architecture diagram if one was generated

  • gantt: Shows steps as a Gantt chart timeline

Returns Mermaid diagram code that can be rendered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYesThe plan as a JSON string
diagram_typeNoType of diagram to generate (default: dependencies)dependencies
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, indicating safety. The description adds important behavioral detail: 'Returns Mermaid diagram code that can be rendered,' which is non-obvious and beyond what annotations provide.

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 concise and well-structured: a one-sentence purpose, a usage line, a bullet list of diagram types, and a closing sentence about output. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With only two parameters, no output schema, and annotations covering safety, the description fully explains the tool's purpose, parameter semantics, and output format. No gaps remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides good descriptions (100% coverage), but the description adds meaningful context by explaining each diagram type in detail, noting the default value, and clarifying the format of the 'plan' parameter (JSON string).

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 'Generate diagrams from an implementation plan' and lists three specific diagram types (dependencies, architecture, gantt), distinguishing it from sibling tools which are not visualization-related.

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 provides a clear use case ('visualize the plan's structure') and explains each diagram type, implicitly guiding when to use which. However, it does not explicitly state when not to use this tool or mention alternatives.

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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