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jyuwaaw

mindnode-mcp

by jyuwaaw

Create a mind map

create_mindmap

Convert a Markdown outline into a MindNode mind map, using the first heading as the central node and nested bullets as branches.

Instructions

Create a new mind map in MindNode by importing Markdown. The first # heading becomes the central node; nested bullet lists (and deeper headings) become branches — write any consistent indentation, it is re-emitted at the four spaces per level MindNode requires. The document lands at the library root (placing it in a folder is not supported yet), and MindNode auto-renames the document if the title already exists — the central node keeps the requested title regardless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesCentral node / document title
markdownYesMarkdown outline. Example: `# Title\n- branch A\n - leaf\n- branch B`. A missing `#` heading is added from the title.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.1

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full transparency burden and succeeds. It reveals actual behavior: the first `#` heading becomes the central node, nested bullets become branches, indentation is automatically re-emitted at four spaces, documents land at the library root, and auto-renaming occurs on title collision. This goes well beyond a bare 'create a mind map'.

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?

Three sentences, each earning its place: the first states core function, the second explains import semantics, the third covers placement and naming edge cases. The description is dense but not padded, with the most important purpose front-loaded.

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?

For two required parameters and no output schema or annotations, the description is quite complete. It covers creation behavior, placement, and naming. It does not mention return value or errors, which could matter since no output schema exists, but this gap is minor given the clear effect of the tool.

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 100%, but the description enriches parameters: `title` is clarified with the auto-rename behavior, and `markdown` is given explicit semantic mapping (headings to nodes, lists to branches, reindentation). This adds meaning that the schema does not fully capture.

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 states a specific verb and resource: it 'Create[s] a new mind map in MindNode by importing Markdown,' and distinguishes itself from the sibling tools (list/get/get_image/open) by clearly being the creation operation. The agent can immediately tell this is the write/import tool.

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 makes it clear the tool is for creating new mind maps from Markdown, with a practical limitation ('placing it in a folder is not supported yet'). It does not explicitly name alternatives or state when not to use it, so it falls short of the highest bar for exclusionary guidance, but it provides ample usage context for a create operation.

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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