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Analyze Image

vision_analyze

Analyze images from local files or URLs using a vision model. Provide a prompt to describe content, detect objects, or extract visual details.

Instructions

Analyze an image (local file or URL) using a vision-capable model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoThe vision model to use (defaults to google/gemini-3.1-flash-lite)google/gemini-3.1-flash-lite
promptNoWhat to look for or analyze in the imageDescribe this image in detail.
image_urlNoURL of the image to analyze
image_pathNoLocal path to the image file (e.g., /path/to/screenshot.png or ~/screenshot.png)
Behavior2/5

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

The description adds little factual behavioral context over the annotations. The openWorldHint annotation is vague, and the description doesn't disclose whether images are sent externally, potential costs, or required permissions. It also doesn't explain the default model behavior or return format.

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 sentence that efficiently states the core purpose without redundancy. It front-loads the key information and earns its place.

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?

The description lacks critical context: it doesn't state that at least one image source (URL or path) is required, nor does it describe the expected output. With no output schema, the description should compensate, but it leaves the agent uncertain about invocation requirements.

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 schema provides 100% coverage of the four parameters with clear descriptions. The description doesn't add additional parameter semantics, but the baseline is appropriate given the high schema coverage.

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 specifies the action ('Analyze'), the resource ('image'), and the input methods ('local file or URL'), distinguishing it from sibling text-based chat tools like chat_completion.

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 alternatives, nor any exclusions or prerequisites beyond the basic purpose. The description implies use for image analysis but doesn't address when not to use or what to do with text.

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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