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kumo-ai

KumoRFM MCP Server

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by kumo-ai

🖼️ Creating graph diagram…

get_mermaid
Read-onlyIdempotent

Generate an entity relationship diagram in Mermaid markup for visualizing table structures and relationships. Optionally hide non-essential columns to reduce clutter.

Instructions

Return the graph as a Mermaid entity relationship diagram.

Important: The returned Mermaid markup can be used to input into an artifact to render it visually on the client side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
show_columnsNoControls whether all columns of a table are shown. If `False`, only the primary key, foreign keys and time column are displayed. Setting this to `False` is recommended for feature-rich tables to avoid cluttering the diagram with less relevant details.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint. The description adds that the output is Mermaid markup for visualization, which is consistent but does not disclose additional behavioral traits like caching or error handling.

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 extremely concise with two sentences. The first sentence states the core purpose, and the second adds valuable context about using the output. No unnecessary words.

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?

The tool has a simple interface with one parameter and output schema. The description covers the output format and usage hint. However, it lacks mention of prerequisites or assumptions (e.g., that a graph must exist), which would make it fully complete.

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% and the schema description for the single parameter (show_columns) is detailed. The tool description does not add any extra meaning to the parameter beyond what is already in the 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 states it returns a Mermaid entity relationship diagram, which is a specific verb+resource. It distinguishes itself from siblings like materialize_graph and inspect_graph_metadata by focusing on visual representation via Mermaid markup.

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 usage by mentioning the returned markup can be used in an artifact, but it does not explicitly state when to use this tool versus alternatives like materialize_graph or explain. No when-not-to-use guidance is provided.

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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