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Nexscope Ecommerce Data MCP

Background Remover API

nexscope_background_remover

Cut out products, people, or clothing from a source image using an upstream background-removal model.

Input Schema

NameRequiredDescriptionDefault
subTypeYesCutout type. Supported values: 1 (general), 2 (portrait), 3 (product), 9 (apparel), 12 (hair), 13 (face).
imageUrlYesPublic URL of the image to cut out. The image must be up to 20 MB and between 385 and 8192 pixels in both width and height.
clothClassNoApparel classes used only when subType is 9. Multiple values may be comma-separated. Supported values: tops, coat, skirt, pants, bag, shoes, hat.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, so the agent already knows this is a non-read-only call, but the description adds only that it uses 'an upstream background-removal model'. It does not say whether the call is synchronous or async, whether a task result must be fetched via nexscope_media_task_result, what is returned (a URL? a file?), or what happens on model failure — the critical operational facts for a media pipeline.

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?

One front-loaded sentence with zero filler or repetition of the title. It is efficient, though the brevity is partly achieved by omitting operational detail that would have earned its place.

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

Completeness2/5

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

No output schema exists, so the description should explain what comes back and whether an async result must be polled; it does neither. For a media-generation tool in a large sibling family, the definition leaves too much for the agent to infer before actually invoking it.

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

Parameters3/5

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

Schema description coverage is 100%, with subType cutout modes, imageUrl size limits, and the clothClass-only-when-subType-9 rule all documented in the schema. The description mentions no parameters, which is acceptable at full coverage, but it contributes nothing extra such as the meaning of the subType choices or typical apparel workflows.

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

Purpose4/5

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

Specific verb-plus-resource: 'cut out products, people, or clothing from a source image' tells an agent exactly what the tool produces. It does not name the near-duplicate siblings (nexscope_fine_cutout_image_segmentation, nexscope_whitebg_image, nexscope_object_eraser_image_object_removal), so differentiation is left to the reader.

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

Usage Guidelines2/5

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

There is no when-to-use / when-not-to-use guidance and no prerequisites stated. The sibling list contains at least three other cutout or background-related tools, and the description never says which conditions select this one over them.

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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