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vision_describe

Generate a detailed textual description of a local image using a vision API. Supports multiple providers including Anthropic, Zhipu, and Ollama.

Instructions

对一张本地图片生成详细的文字描述/识别结果

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes本地图片文件的绝对或相对路径
providerNo视觉 API 后端: anthropic | zhipu | ollama。不传则使用默认 provider
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It merely states the function without mentioning side effects, permissions, rate limits, or limitations (e.g., file formats, language, accuracy). This is insufficient for a tool with no safety annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence conveying the core functionality. No fluff, well front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity (2 parameters, no output schema), the description is adequate but minimal. It does not specify output format, language, or behavior for different providers. More detail would benefit an AI agent's understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for both parameters. The tool description adds only the qualifier 'local' for the image, which is already implied by the path description. No additional semantic value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it generates detailed text descriptions or recognition results for local images. The verb 'generate' and resource 'local image' are specific, and the tool name combined with sibling names (vision_analyze, vision_qa) helps distinguish its purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus its siblings (vision_analyze, vision_qa). The description does not mention prerequisites, context, or exclusions, leaving the agent without decision criteria.

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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