analyze_image

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

No annotations are provided, so the description must bear full burden. It states that the tool analyzes images and supports local paths and URLs, but does not disclose non-destructive behavior, authentication needs, or rate limits. It implies read-only operation but is not explicit.

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 concise: a single-sentence overview followed by a clear Args list. No unnecessary words, though the structure could be improved with a more formal separation of purpose and usage.

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?

The description covers the tool's purpose, input parameters, and use cases. However, it lacks details on supported image formats, size limits, or performance considerations. The presence of an output schema mitigates the need for return value explanation.

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 has 0% description coverage, so the description must compensate. It explains the 'image' parameter as a local path or URL, and 'prompt' as an analysis prompt with default behavior. This adds significant meaning beyond the bare schema types.

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 analyzes image content and mentions specific use cases (image description, visual QA, chart analysis). It implicitly distinguishes from siblings ocr_extract and ocr_precise, which are OCR tools, so the purpose is well-defined.

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 lists scenarios where the tool is applicable ('可用于图像描述、视觉问答、图表分析等场景'), providing clear context. However, it lacks explicit when-not-to-use guidance or direct mention of alternatives, though the sibling tools imply different use cases.

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