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image.segment_at

[paid: $0.0005] Mask the side of the subject/background cut that pixel (x, y) falls on (BiRefNet on Cloudflare Images: the main subject, or everything behind it; not one object among several) and return the mask image. Returns JSON {images:[{url, asset_key, download_url?, width, height}], price, next} plus a preview; images are stored in this workspace, never provider links, and a result with no download_url says why in download_url_unavailable. Refuses: SIMPLER_MEDIA_INPUT_MISSING (pass the url or the asset_key), SIMPLER_MEDIA_FOREIGN_KEY (use this workspace's asset_key), SIMPLER_MEDIA_URL_REFUSED (use https, data:image or an asset_key), SIMPLER_MEDIA_PIN_TOO_LARGE (under 20MB), VALIDATION_ERROR with reason SIMPLER_EDIT_TOOL_ARGS_INVALID when x or y is missing or outside 0..16384 (take the point from the user, in the image's pixels), INSUFFICIENT_CREDITS (add credits). SIMPLER_EDIT_RESULT_UNDELIVERED means the charge was refunded: retry. NEXT: pass images[0].asset_key as mask_asset_key to image.inpaint, image.replace_sky or image.replace_background.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "x": "<x>",
      "y": "<y>"
    },
    "name": "image.segment_at"
  }
}

Input Schema

NameRequiredDescriptionDefault
xYesPixel X of a point on the object (0..16384).
yYesPixel Y of a point on the object (0..16384).
image_urlNoSource photo: a public https URL, a data:image/...;base64 URL, or the url/url_path of an earlier image result (max 20MB; PNG, JPEG, WebP or GIF; SVG is refused). Pass this or the matching *_asset_key, not both.
request_refNoOptional idempotency key (1-64 chars: letters, digits, . _ : -). Retrying with the same request_ref and the same arguments within 24 hours returns the first result at $0 with replayed: true; the same request_ref with different arguments is refused (SIMPLER_IMAGE_REQUEST_REF_CONFLICT), and so is a retry whose first result was deleted since (SIMPLER_IMAGE_REQUEST_REF_RESULT_DELETED): send a new request_ref to run it again.
preview_formatNoPreview block after the JSON, at most 384px on the long edge and never charged: png, jpeg or none. Left out, a PNG result gets a png preview and a JPEG or WebP result a jpeg one. A result with no preview says why in preview_unavailable.
image_asset_keyNoSource photo, as the asset_key of an earlier image result for this workspace (edit-projects/<tenant>/... or images/<tenant>/...). A key from another workspace is refused (SIMPLER_MEDIA_FOREIGN_KEY).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=false, so the description carries the burden and does so thoroughly: it discloses the $0.0005 charge, the JSON response shape (images/price/next), workspace-stored assets, the refund semantics of SIMPLER_EDIT_RESULT_UNDELIVERED, and idempotency behavior. This is far beyond what any structured field provides.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the operation, then cost, then return shape, then failures, then next step — a sensible priority order. The enumerated error-code list is dense and slightly overlong, but each entry carries actionable recovery advice rather than being filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description fully specifies the return payload and the preview block, plus all refusal paths and the follow-up composition step. An agent has everything needed to call, interpret and chain this tool without opening anything else.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning: x/y must be the user's point in the image's own pixels and are bounded 0..16384, and the url-vs-asset_key choice is tied to specific error codes. It stops short of explaining preview_format or request_ref beyond what the schema already says.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Mask the side of the subject/background cut that pixel (x, y) falls on') and pins down the model (BiRefNet) and semantics ('the main subject, or everything behind it; not one object among several'). An agent can tell this apart from a generic object-segmentation or cut_background tool from the description alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The NEXT section explicitly routes the output into image.inpaint, image.replace_sky or image.replace_background, and refusal codes tell the agent how to recover from missing/foreign/refused inputs. What's missing is an explicit statement of when to choose this over the sibling image.cut_background.

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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