analyze_image

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

No annotations are provided, so the description carries full burden. It discloses the model (GLM-4.6V-Flash) and the types of analysis supported, but does not address privacy implications, return format specifics, or failure modes. This is adequate but not comprehensive.

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 with an opening sentence that states the purpose followed by a structured list of parameter descriptions. No redundant text or unnecessary details.

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?

An output schema exists, so return values are presumably documented. The description covers parameters and general purpose well. It lacks explicit alternative guidance and edge-case limitations, but for a straightforward image analysis tool it is sufficiently complete.

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 0% description coverage, so the description's Args section is essential. It clearly explains all five parameters, including supported URL formats for image, the purpose of prompt, and ranges (temperature 0~1, max_tokens). This fully compensates for the bare schema.

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 states '使用 GLM-4.6V-Flash 分析一张图片' (use GLM-4.6V-Flash to analyze an image) and lists specific capabilities such as OCR, content understanding, table parsing, and defect detection. This clearly distinguishes it from sibling tools analyze_video and analyze_file.

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 implies usage for image analysis but does not explicitly mention when to prefer this tool over siblings or provide exclusions. No guidance on alternatives is given, so the usage context is inferred rather than explicit.

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