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remove_bg

Remove image backgrounds locally using ISNet/U2Net models without login. Outputs a PNG with alpha transparency, ready for compositing, and returns the saved file path.

Instructions

本地抠图去背景(ISNet/U2Net,免登录),输出带 alpha 的 PNG

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outNo输出路径(默认 <名>-nobg.png)
fileYes输入图片绝对路径
modelNo模型,isnet 默认

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the output format (alpha PNG) and the default model (ISNet), but does not disclose important behaviors such as processing time, file size limits, input format constraints, failure modes, or whether the operation is destructive to the input file. With zero annotation coverage, this is a notable gap.

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

Conciseness5/5

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

A single compact sentence that front-loads the core action (抠图去背景), then packs the key differentiators (models, auth-free, output format) without any filler. Every element earns its place.

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

Completeness3/5

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

For a single-required-parameter tool with a complete schema and no output schema, the description is reasonably complete: the agent knows the action, the models, the output format, and that no login is required. Missing behavioral context—such as expected runtime, input restrictions, or edge cases—prevents a higher score, but the core call path is clear.

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%, so the schema already documents all three parameters (out, file, model), including the enum for model and the default naming convention. The description adds the default model ('isnet 默认') and the alpha-PNG output detail, but these are minor additions since the schema carries the parameter meanings.

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?

The description states a specific verb ('抠图去背景') and resource (local image, with named models ISNet/U2Net and an alpha-PNG output). It clearly identifies what the tool does and distinguishes it from a remote service by noting '免登录' (no login required) and local processing. It could be slightly more explicit about the resource being an image file, but the verb-and-resource clarity is solid.

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

Usage Guidelines3/5

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

The description implies when to use the tool: to remove backgrounds locally without authentication. It lists no explicit alternatives or exclusions, but the '免登录' note suggests a context where no account/API key is needed. No explicit guidance on when NOT to use it or which sibling tools to prefer, leaving some inference required.

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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