Convert PNG/JPG images to clean SVG, DXF or EPS vectors for cutting machines, laser and print.
Scored across 1 tool
There is only one tool, so no misselection is possible. Its purpose (raster-to-vector conversion) is unambiguous and self-contained.
A single tool named 'vectorize' is a clear verb that directly describes the action. With one tool there is no convention to break, so naming is trivially consistent.
The server is a single-purpose conversion service, and one tool adequately exposes that entire capability; variation is handled by parameters (mode, format) rather than extra tools. It is slightly thin compared with the 3-15 typical range, but nothing is missing from the set.
The lone tool covers the full workflow: input via URL or attachment, four conversion modes, and three output formats with usable returns. Minor gaps remain (no batch conversion, no async/job status for large images, no PDF or non-listed input types), but core use cases are covered.
Convert a raster image (PNG, JPG, WebP or GIF, up to 10 MB) into a vector file. Returns a rendered PNG preview of the result and the complete file source as text, ready to save as .svg, .dxf or .eps. Input: image_url, a public http(s) link to the image; in ChatGPT, an image attached to the conversation arrives as the image file instead. Modes: "standard" (logos, illustrations, AI-generated art), "laser" (closed cut paths for laser cutters), "cricut" (cutting machines), "centerline" (one stroke per line: scanned drawings, line art, single-line lettering; photos and filled shapes are refused). Formats: "svg" (default), "dxf" (R12 polylines in millimetres, for laser, CNC and CAD), "eps" (print and sign-making). Very detailed images such as photos can give a file too large to return in the conversation. A conversion takes about 5 to 20 seconds.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | Tracing mode: "standard" for logos, illustrations and AI art; "laser" for closed cut paths; "cricut" for cutting machines; "centerline" for single strokes on line art and scanned drawings. | standard |
| image | No | An image attached to the conversation, as supplied by the host app. Omit it when passing image_url. | |
| format | No | Output file: "svg" (default) for design tools and Cricut Design Space; "dxf" for laser cutters, CNC routers and CAD; "eps" for print, sign-making and older design software. | svg |
| image_url | No | Public http(s) URL of a PNG, JPG, WebP or GIF image, up to 10 MB. Use it when no file is attached. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the description adds the useful operational details: 5-20 second latency, a 10 MB input cap, and the failure mode where overly detailed images produce output too large to return. It does not discuss network-fetch failures or what error text looks like, which is the only remaining gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core action and output before the mode/format catalogue, and every sentence carries real information. It is dense and long-ish, but nothing is filler; the 'Input: image_url ...' sentence is the only slightly awkward construction.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description still explains the return payload (rendered PNG preview plus full file source as text, saveable as .svg/.dxf/.eps). Combined with the input restrictions, latency, and size caveat, an agent has everything needed to call it and interpret the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% so the baseline is 3; the description goes slightly beyond by explaining that in ChatGPT an attached image arrives as the image file rather than image_url, and by restating mode/format tradeoffs in task terms (R12 polylines in millimetres for laser/CNC/CAD). Most mode semantics, however, already live in the enum descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Opens with a specific verb+resource ('Convert a raster image ... into a vector file'), names accepted input formats and size limit, and states exactly what comes back (PNG preview plus file source text). An agent knows precisely what this does without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives explicit routing logic for every enum value: 'standard' for logos/illustrations/AI art, 'laser' for closed cut paths, 'cricut' for cutting machines, 'centerline' for single-stroke line art. It also states the exclusion ('photos and filled shapes are refused' in centerline) and tells the agent when to use image_url versus an attached image file.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
vectorizeConvert PNG, JPG and WebP images, including AI-generated ones, to clean SVG, PDF, EPS or DXF.
Vectorize images: PNG/JPG to SVG, PDF, EPS, DXF. Turns logos, icons and scans into clean vectors.
Image to SVG with a vectorization model we trained in-house. Clean, editable logos, icons, line art.
Convert PNG, JPG and WebP to SVG. Recolor an SVG, reduce its colors or remove its background.
Add one secure layer between your agents and this server.
