Cleanor Tools
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| optimize_imageA | Fetch an image from a public URL and re-encode it smaller (WebP/AVIF/JPEG), optionally resizing to a target width. Returns the optimized image plus before/after byte sizes. Use this when an AI-generated or dropped-in asset (hero image, screenshot, illustration) is too large to ship. |
| storage_capacityA | How many photos or minutes of video actually fit in a given storage size, corrected for real OS/filesystem overhead. Backed by Cleanor Labs measured per-item sizes. Use for realistic sample copy, dashboards, or "how many photos fit in 128 GB" answers. |
| image_format_savingsA | How much smaller WebP, AVIF or JPEG XL are than JPEG at matched perceptual quality, from Cleanor Labs’ controlled benchmark. Also reports the "HEIC conversion tax" (converting an iPhone HEIC to JPG/PNG makes it bigger). Use to justify a format choice when building a site or app. |
| qr_codeA | Encode text or a URL as a QR code and return a crisp, dependency-free SVG you can paste straight into a page, deck or doc. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: image format comparison, image optimization, QR code generation, and storage capacity estimation. There is no overlap or ambiguity.
All names use snake_case and are descriptive, but they mix verb starts (optimize_image, qr_code) with noun starts (image_format_savings, storage_capacity). While not perfectly consistent, the pattern is clear and predictable.
With 4 tools, the server is well-scoped for its purpose of providing image and storage utilities. Each tool earns its place without unnecessary bloat.
The tool set covers core image and storage needs, including format justification, optimization, QR generation, and capacity estimation. A minor gap like video format savings is absent, but the set feels complete for its stated domain.