image_cutout
图片抠图
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| method | No | 抠图方法 | |
| image_url | No | 原图 URL | |
| resolution | No | 输出分辨率 | |
| callback_id | No | 回调标识 | |
| workspace_id | No | 工作空间 ID,用于关联异步任务 | |
| output_format | No | 输出格式 | |
| idempotency_key | No | 幂等键,防止重复提交 |
图片抠图
| Name | Required | Description | Default |
|---|---|---|---|
| method | No | 抠图方法 | |
| image_url | No | 原图 URL | |
| resolution | No | 输出分辨率 | |
| callback_id | No | 回调标识 | |
| workspace_id | No | 工作空间 ID,用于关联异步任务 | |
| output_format | No | 输出格式 | |
| idempotency_key | No | 幂等键,防止重复提交 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that — it does not explain the async/callback workflow implied by callback_id and workspace_id, nor what the tool produces.
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?
A four-character phrase is not conciseness but under-specification: there is no structure, no front-loaded scope, and no information an agent can act on beyond the noun. Every possible sentence that would earn its place is absent.
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 7 parameters, zero required fields, async-task fields (callback_id, workspace_id) and no output schema, the description should carry significant explanatory weight. Instead it offers a single phrase, leaving the async submission model, method options and output behavior entirely unexplained.
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 description coverage is 100%, so every one of the 7 parameters (method, image_url, resolution, callback_id, workspace_id, output_format, idempotency_key) is documented in the schema itself. Per the baseline rule for high coverage, a 3 is appropriate since the description adds no parameter detail.
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?
"图片抠图" names a specific verb+resource (image cutout/background removal), which is more than a tautology of the tool name. However, it offers nothing to distinguish it from sibling tools like image_magic_eraser or image_enhance, which operate on similar image-editing ground.
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?
There is no when-to-use guidance, no prerequisites, and no mention of alternatives among the 29 sibling tools. The agent must infer from the name alone that this is for background removal rather than erasing objects or enhancing quality.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.