An API documentation generator for JavaScript.
Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://jsdoc.app",
"auth_method": "none",
"auth_config": {},
"endpoints": [],
"pricing_model": {
"type": "free",
"details": {
"license": "Apache License 2.0",
"note": "Open-source tool distributed via npm; no pricing tiers."
}
},
"rate_limits": {},
"capabilities": [
"API documentation generation from JavaScript source comments",
"JSDoc comment/tag parsing (block and inline tags)",
"Support for ES2015 classes, ES modules, CommonJS, AMD modules",
"Configurable via JSON config file (.jsdoc.conf)",
"Command-line interface with arguments",
"Plugin system for extending parsing/processing",
"Markdown plugin support",
"Configurable default output template",
"Integration of README and package.json into docs",
"Tutorials support",
"Static HTML documentation output",
"Namepath-based symbol referencing"
],
"raw_analysis": "JSDoc is an open-source API documentation generator for JavaScript, distributed as an npm package and documented at https://jsdoc.app. It is a developer tool rather than a hosted SaaS platform: users install it locally (e.g., `npm install -g jsdoc`) and run it against their codebase to produce static HTML documentation.\n\nNature of the platform: JSDoc is a CLI/Node.js library for parsing structured comment annotations (JSDoc tags) embedded in JavaScript source and generating browsable HTML docs. The site jsdoc.app is purely documentation — a static Eleventy-generated site. There is no web application, no hosted dashboard, and consequently no REST API, authentication, or server-side endpoints.\n\nMaturity: JSDoc is a long-established, widely adopted standard in the JavaScript ecosystem. Many editors, IDEs, and language servers (e.g., TypeScript, VS Code IntelliSense) consume JSDoc-style annotations, making it effectively a de facto convention. Version 3.x is the current generation. The project is licensed under Apache 2.0 and is community-maintained.\n\nIntegrations/extensibility: Rather than network integrations, JSDoc's extensibility comes through: a plugin system (custom plugins to alter parsing or output), a configurable default template, Markdown plugin for rendering markdown in comments, and support for injecting package.json metadata and README files into generated docs. Its output is portable static HTML, so it can be integrated into CI/CD pipelines and static hosting arbitrarily.\n\nAuth/pricing/rate limits: Not applicable — no hosted API, no accounts, no usage metering. Cost is zero; usage is bounded only by local compute.\n\nConclusion: JSDoc does not expose a public REST API. Any integration is programmatic via the Node.js library API or CLI, not HTTP. For a platform analyzer, its relevant 'capabilities' are the documentation-generation features rather than endpoints."
}3/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 118ms |
| robots_txt | GET /robots.txt | 200 | 124ms |
| llms_txt | GET /llms.txt | 200 | 67ms |
{
"overall": 72,
"dimensions": {
"token_efficiency": 8.5,
"first_try_success": 7.5,
"response_parseability": 7.0,
"error_clarity": 7.5,
"doc_quality": 8.5,
"auth_simplicity": 10.0,
"latency": 9.5,
"consistency": 8.5
},
"pricing_normalized": {
"model": "free_open_source",
"license": "Apache-2.0",
"distributed_via": "npm",
"tiers": [],
"cost_per_call": 0,
"note": "No paid tier; agent can install with `npm install -g jsdoc` and run locally without any account or key."
},
"issues": [
"robots.txt and llms.txt routes both return the same HTML index page (status 200 with identical preview) rather than a plain-text robots.txt or an llms.txt manifest — agents probing these endpoints get HTML, not machine-readable policy/content.",
"No dedicated llms.txt file, so AI agents cannot retrieve a canonical, concatenated documentation index for context injection.",
"Primary docs site is static HTML (Eleventy-generated); no JSON API for docs, so parsing requires HTML scraping.",
"Feature set is deep but requires reading config/plugin docs before first successful run, slowing time-to-first-output for agents unfamiliar with JSDoc conventions.",
"No status page or health endpoint beyond the docs site, so reliability signal is limited to uptime probes."
],
"recommendations": [
"Publish a real /llms.txt (or /llms-full.txt) with a concise, plain-text index of core concepts, CLI flags, and config schema to boost token efficiency and first-try success for agents.",
"Fix robots.txt to serve an actual text/plain robots policy instead of falling through to the HTML index.",
"Expose documentation metadata (command reference, tag list, config options) as a machine-readable JSON endpoint to improve response_parseability.",
"Add a small 'agent quickstart' page: install command, minimal .jsdoc.conf, and one-liner run command, reducing onboarding friction.",
"Provide a status/uptime page or health check endpoint to strengthen the consistency signal for agents evaluating reliability."
]
}Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
<a href="https://prowl.world/service/jsdoc">
<img src="https://prowl.world/badge/jsdoc.svg" height="56" alt="Agent-readiness on Prowl">
</a>
See operational metrics, LLM evaluations, agent readiness, and more.
Open in Dashboard