image_enhance
图片增强
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| scale | No | 放大倍数 | |
| method | No | 增强方法 | |
| 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 | |
| idempotency_key | No | 幂等键 |
图片增强
| Name | Required | Description | Default |
|---|---|---|---|
| scale | No | 放大倍数 | |
| method | No | 增强方法 | |
| 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 | |
| idempotency_key | No | 幂等键 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false and openWorldHint=true, so the agent knows this is a mutating, externally-reaching operation. The description adds no behavioral context at all — nothing about processing time, URL requirements, or whether the original image is preserved or overwritten — so it fails to build on the annotation baseline.
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?
It is technically one sentence with zero waste, but the brevity is under-specification rather than conciseness — the single phrase conveys no actionable information for a seven-parameter tool. The low score reflects missing substance, not excessive length.
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?
For a seven-parameter, non-idempotent, external-facing mutation tool with no output schema, the description is completely inadequate. An agent has no way to know preconditions, async/callback behavior implied by callback_id and idempotency_key, or expected results.
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% with all seven parameters individually labeled (scale, method, image_url, resolution, callback_id, workspace_id, idempotency_key). Per the baseline rule for high coverage, the schema carries the burden and the description is not required to compensate, so 3 is appropriate despite adding nothing.
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?
The description "图片增强" merely restates the tool name image_enhance in Chinese, adding no scope, input expectation, or output meaning. It gives no basis for distinguishing this tool from siblings like image_create, image_cutout, or image_ecommerce beyond the obvious name reading.
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 guidance whatsoever on when to use this tool, when to prefer an alternative such as image_create or video_enhance_v2, or what inputs are required. The agent is left to infer everything from the name alone.
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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