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vision_camera

Capture a camera image and analyze it with vision models. Provide a prompt to specify what to examine or describe in the photo.

Instructions

Take a photo with camera and analyze it

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoVision model to usellava
promptNoWhat to analyze in the camera imageDescribe what you see in this image
Behavior2/5

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

The description lacks any behavioral detail such as requiring camera permission, opening a live view, or returning a textual analysis. With no annotations, the description does not cover the full burden of behavioral disclosure.

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 a single sentence with no extraneous words, quickly conveying the core action. It is somewhat vague but structurally strong.

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?

For a tool with no annotations and no output schema, the description is underspecified. It doesn't explain the analysis outcome, possible model differences, or any prerequisites.

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 descriptions cover both parameters completely (model and prompt), so the description need not add param details. It doesn't add any, but the baseline of 3 is appropriate.

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

Purpose4/5

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

The description uses the verb 'take' and clearly identifies the camera as the resource, distinguishing it from screenshot-based capture. However, 'analyze it' is vague and doesn't specify the type of analysis.

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 is provided on when to use this tool versus the siblings (vision_screenshot, vision_analyze_image). The description only states what it does, leaving the agent to infer use cases.

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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