baidu_image_enhance
Enhance image clarity by reducing blur and noise. Ideal for low-quality or degraded images.
Instructions
[Image] 图像清晰度增强 — $0.02/call (free: 5/5 today)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| image | Yes | 图片URL |
Enhance image clarity by reducing blur and noise. Ideal for low-quality or degraded images.
[Image] 图像清晰度增强 — $0.02/call (free: 5/5 today)
| Name | Required | Description | Default |
|---|---|---|---|
| image | Yes | 图片URL |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose all behavioral aspects. It mentions pricing and free call limits, which is useful, but fails to explain whether the enhancement is synchronous, what happens to the image (e.g., return a new URL), or any authorization requirements. Given the lack of annotations, this is insufficient.
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?
The description is a single, front-loaded sentence that conveys the core purpose, category, and cost. It is efficient and easy to parse, though it sacrifices detail for brevity.
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 simple one-parameter tool, the description covers the basic purpose and cost. However, it omits details such as supported image formats, size limits, output format, and whether the enhancement is automatic or configurable. With no output schema, the agent needs more context on return values.
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?
The schema has 100% description coverage for the single parameter 'image' (description: '图片URL'). The description adds pricing context but no additional parameter meaning. Per guidelines, with high schema coverage, baseline is 3.
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 clearly indicates the tool enhances image clarity ('图像清晰度增强'), with an '[Image]' category prefix differentiating it from non-image tools. However, it lacks specificity on the type of enhancement (e.g., denoising, upscaling) and does not explicitly distinguish it from sibling image tools like baidu_image_edit.
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?
The description provides no guidance on when to use this tool versus alternatives such as baidu_image_edit or baidu_image_recognition. There is no mention of use cases, prerequisites, or when not to use it.
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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