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MAXential Thinking MCP

export

Export the current thinking chain as markdown or JSON for sharing reasoning with humans or other systems. Optionally export a single branch.

Instructions

Export the current session's thinking chain as formatted text. Read-only. Markdown format produces a human-readable document with section headers per thought, branch headings, and tags as inline markers — suitable for handoffs or documentation. JSON format produces machine-parseable output including all thoughts, branches, tags, and metadata. Optionally export a single branch by providing branchId. Default format is markdown. Use when sharing reasoning with humans or other systems.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format (default: markdown)
branchIdNoExport only a specific branch
Behavior4/5

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

No annotations provided, so description carries full burden. It states 'Read-only' and describes both output formats and branch filtering. Could mention any limitations, but adequate for a simple export 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?

Concise with about 5 sentences, front-loaded with main purpose, no wasted 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?

Lacks output schema but describes return formats adequately. For a simple export tool, it covers necessary aspects.

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% with descriptions. The description adds context about default format and human-readable vs machine-parseable, slightly extending beyond 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 the tool exports the current session's thinking chain as formatted text, specifying markdown and JSON formats. It distinguishes from sibling tools like get_branch or get_thought.

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 usage context: 'Use when sharing reasoning with humans or other systems.' It also mentions optional single-branch export. No explicit when-not-to-use or alternatives, but context is clear.

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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