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perryjr1444-ux

Autonomous Documentation MCP

generate_documentation

Automatically generate complete Mintlify-style documentation with MDX files, API references, code examples, and navigation from codebase analysis.

Instructions

Generate complete Mintlify-style documentation with MDX files, frontmatter, navigation, and configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analysis_resultYesJSON string from analyze_codebase or path to analysis file
output_dirNoOutput directory for generated documentation./docs
themeNoDocumentation theme/styledefault
include_api_referenceNoAuto-generate API reference pages
include_examplesNoGenerate code examples
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions generating documentation but lacks behavioral details: it doesn't specify if this overwrites existing files, requires specific permissions, has rate limits, or what the output looks like. For a tool that likely creates files and directories, this is a significant gap in transparency.

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, efficient sentence that front-loads the core action and lists key output components. There's no wasted verbiage, and it's appropriately sized for the tool's complexity.

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 (generating documentation with multiple components), lack of annotations, and no output schema, the description is incomplete. It doesn't explain the relationship with 'analyze_codebase', what 'complete' entails, or behavioral aspects like file handling. More context is needed for effective use.

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 schema fully documents all 5 parameters. The description adds no parameter-specific information beyond the tool's overall purpose. Baseline 3 is appropriate as the schema does the heavy lifting, but the description doesn't enhance understanding of parameters like 'analysis_result' or 'theme'.

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's purpose: 'Generate complete Mintlify-style documentation with MDX files, frontmatter, navigation, and configuration.' It specifies the verb ('Generate') and resource ('Mintlify-style documentation') with details about output components. However, it doesn't explicitly differentiate from siblings like 'create_docs_config' or 'generate_api_reference' which might handle parts of this process.

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 provides no guidance on when to use this tool versus alternatives. With siblings like 'analyze_codebase' (likely a prerequisite), 'create_docs_config', 'generate_api_reference', and 'sync_documentation', there's no indication of workflow sequencing, overlap, or exclusions. Usage is implied but not stated.

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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