Skip to main content
Glama
JehadurRE

todiagram-mcp-windows-fix

by JehadurRE

Generate data diagram

generateDataDiagram

Convert structured data like JSON, YAML, CSV, or XML into diagrams for visualizing raw data structures, configuration files, or API responses.

Instructions

Generate diagrams from structured data like JSON, YAML, CSV or XML. Use this tool specifically for visualizing raw data structures, configuration files, or API responses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the diagram
formatYesFormat of the input data
contentYesCould be any JSON, YAML, CSV or XML data. The tool will convert it into a diagram format.
Behavior2/5

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

With no annotations, the description carries full behavioral transparency burden. It only states the tool converts data to a diagram format, without disclosing limitations, output details, or side effects. This is minimal disclosure for a file-processing 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?

Two sentences deliver purpose and usage guidance efficiently, with no wasted words. Front-loaded with the core action.

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

Completeness3/5

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

Given the tool has no output schema and three parameters, the description covers basic purpose and usage. However, it lacks details on diagram output type, error handling, or size constraints, which are relevant for raw data input.

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 the schema already documents all parameters. The description adds no parameter-level details, but the context (e.g., 'structured data') reinforces usage. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates diagrams from structured data (JSON, YAML, CSV, XML). However, it does not explicitly differentiate from sibling tools like generateCodeDiagram or generateSystemDiagram, missing a chance to achieve a top score.

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 explicit usage context: 'visualizing raw data structures, configuration files, or API responses.' It does not mention when not to use or name alternative tools, but the context is sufficient for most scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JehadurRE/todiagram-mcp-windows-fix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server