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analyze_image

Generate textual descriptions from image files on disk: extract text via OCR, analyze UI elements, understand diagrams and charts, and answer custom questions using vision AI.

Instructions

分析磁盘上的图片文件 / Analyze an image file on disk

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo自定义问题
image_pathYes图片路径
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that the tool analyzes an image file on disk, but doesn't mention whether it's read-only, what it returns, or any side effects. This is insufficient for an agent to predict the tool's behavior.

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

Conciseness4/5

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

The description is extremely concise and front-loaded, conveying the core purpose in a single phrase. However, it includes redundant bilingual text (same meaning in Chinese and English), which is minor bloat. Still, it's structured and free of unnecessary words.

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

Completeness2/5

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

There is no output schema, no annotations, and the description is too terse to complete the picture. It doesn't explain what the output looks like, how prompt affects behavior, or any limitations. For a tool with 2 params and simple purpose, this is still inadequate.

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?

The input schema covers 100% of parameters with descriptions (image_path and prompt). The tool description itself adds no additional parameter semantics, but the baseline of 3 applies since the schema provides adequate information.

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

Purpose3/5

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

The description states a specific action ('analyze') and resource ('image file on disk'), but 'analyze' is vague and doesn't differentiate from sibling tools like extract_text, describe_ui, or analyze_chart. It lacks a clear definition of what kind of analysis is performed.

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 usage guidance is provided. The description doesn't indicate when to use this tool versus alternatives, nor does it mention any prerequisites or edge cases. Users are left to infer the tool's role from its name.

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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