You paste a feedback link into Cursor, describe the layout bug, and the agent confidently changes the wrong component. The reason is simple and easy to miss: the agent never saw the screenshot. It saw a URL to the screenshot, and a URL is just a string of characters.
What a text extractor actually keeps
Most feedback lands in an agent as text. A pasted comment, a copied bug report, a link to a review. When that text is built from a page that contained an image, the extractor pulls the words and drops the pixels. What survives is the alt text, the caption, and the file path. What disappears is the button that overlaps its label, the input that runs off the right edge, the misaligned modal you were pointing at.
So the agent reads something like screenshot of the checkout page and a link ending in .png. It does not open that link. Even when it can, a raw image tells it nothing about which of the twelve elements on screen you meant. The gap between "here is a picture" and "here is the button that is broken and the fix I want" is exactly where the turn gets wasted.
This is the same failure that makes a Loom video fail as agent input: the information lives in a medium the agent cannot parse, and the parseable part is a thin summary that loses the specifics.
Why the read matters more than the picture
A fix depends on three things being present together: the visual, the exact element, and the change you want. An agent can guess two of those from a screenshot alone. It cannot reliably guess all three, and guessing is what produces the wrong edit.
The difference between a link and a read is the difference between handing the agent a locked file and handing it the contents. When Cobalt Capture publishes a review, the same review exists as plain markdown at /r/<slug>/markdown. That markdown is what an agent reads. It carries your typed or dictated comment, the numbered pins that point at specific spots, and a reference to the cropped still, structured so the model can act on it instead of paraphrasing it.
An agent feedback artifact it can read directly removes the guesswork. The pin says which element. The comment says what is wrong and what you want. The crop removes everything irrelevant so the model is not distracted by the nav bar or the footer. That is a report your agent can execute against, not a screenshot it has to interpret.
Two ways the agent gets the read
You have two clean paths, and neither asks you to describe the screen in a long prompt.
The first is the markdown URL. Publish the review, copy the /markdown address, and paste it where your agent accepts a file or a link it can fetch. The agent pulls structured text instead of a rendered page, so nothing gets stripped on the way in. The mechanics are covered in capturing a screen to markdown step by step.
The second is a direct connection. With the MCP server, the agent reads the review itself rather than waiting for you to paste anything. You point Cursor, Claude Code, or Codex at the review, and the read happens on its side. The setup for that is in connect your coding agent.
Either way, the payload the model sees is the annotated screen, not a link to it. That is the whole point.
How to make the read worth reading
A clean read still needs a clean capture. A few habits change how well the agent does with it.
- Crop to the element and its immediate context. If the bug is one input, the agent does not need the sidebar. What to keep and cut is spelled out in what to crop in and out for an agent.
- Drop a numbered pin on the exact spot you mean. A pin resolves "the top button" versus "the one below it" without a sentence of description.
- Write the comment as the change, not the complaint. "Submit button sits 8px below the field, align it to the input row" beats "this looks off."
Dictation helps here. In Chrome or Edge you can talk through the item while looking at it, and the browser's speech recognition types it out. On Firefox the speech feature is not available, so you type the comment instead. Both produce the same markdown the agent reads.
None of this requires an install, a browser extension, or a signup. Open a tab, capture the screen, pin and comment, publish. You get a public link for the people on your team and clean markdown for the agent, from the same review.
Start a review on the screen that is broken, pin the element, and hand your agent the read instead of the link. Then check whether the next turn edits the right thing.