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Jah-yee

Azure Diagram MCP Server

by Jah-yee

generate_diagram

Generate infrastructure diagrams by writing Python code with the diagrams package DSL. Supports Azure components and custom architectures.

Instructions

Generate a diagram from Python code using the diagrams package DSL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesPython code using the diagrams package DSL to generate a diagram. Must contain a Diagram() call.
filenameNoOptional output filename for the generated diagram (without extension).
timeoutNoTimeout in seconds for diagram generation (1-300).
workspace_dirNoOptional workspace directory for output files.
Behavior3/5

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

No annotations are provided, so the description carries the burden. It mentions that the code must contain a Diagram() call, but does not disclose potential errors, execution constraints, or side effects beyond the schema.

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 a single sentence that is concise and front-loaded, containing no unnecessary words.

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

Completeness2/5

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

Given the tool's complexity (code execution, file output, timeout), the description is minimal. It does not address return values, error handling, or execution environment, leaving gaps for an agent.

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 description coverage is 100%, so the baseline is 3. The description adds no additional semantic value beyond the schema's parameter descriptions, but it reinforces the overall purpose.

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 the action 'Generate' and the resource 'diagram from Python code using the diagrams package DSL'. It distinguishes from sibling tools like get_diagram_examples and list_icons, which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. The agent must infer usage from context.

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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