imageSearchPic

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

No annotations are provided, so the description carries full burden. It mentions retrieval from a dataset but doesn't disclose behavioral traits such as rate limits, authentication needs, what 'similar' means (e.g., visual similarity, semantic similarity), or response format. For a tool with no annotation coverage, this is a significant gap in transparency.

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, efficient sentence in Chinese that directly states the tool's function without unnecessary words. It is appropriately sized and front-loaded, with every part contributing to understanding the purpose, making it highly concise and well-structured.

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?

Given the tool's complexity (image similarity search), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the dataset contains, how similarity is measured, or what the return values are (e.g., list of images, scores). For a retrieval tool with no structured output, more context is needed to guide the agent effectively.

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 description coverage is 100% (parameter 'uri' is described as '图片地址' - image address), so the baseline is 3. The description adds no additional meaning beyond the schema, such as format requirements (e.g., supported image types, URI protocols) or constraints (e.g., size limits). It relies entirely on the schema for parameter documentation.

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 states the tool's purpose: '根据输入的图片，从数据集中检索出与输入的图片内容相似的图片' (Retrieve images similar to the input image from a dataset). It specifies the verb '检索出' (retrieve) and resource '图片' (images), but doesn't differentiate from its sibling 'imageSearchText', which performs text-based image search. This makes it clear but not fully sibling-distinct.

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 like 'imageSearchText' (text-based image search) or other image-related tools (e.g., 'aiPicMatting', 'assessQuality'). It implies usage for image similarity retrieval but lacks explicit when/when-not instructions or prerequisites, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.