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take_snapshot

Capture camera snapshots for visual analysis using AI models. Optionally analyze images with custom prompts to extract insights from camera feeds.

Instructions

Capture camera snapshot with optional LM Studio visual analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analyzeWithLMNoAnalyze with vision model
customPromptNoCustom analysis prompt
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions optional LM Studio analysis but doesn't describe what the tool actually does beyond capturing - whether it saves files, returns image data, requires camera permissions, has rate limits, or what happens when analysis is enabled. Significant behavioral gaps remain.

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 extremely concise - a single sentence that efficiently communicates the core functionality. Every word earns its place with no wasted text, making it easy to parse and understand quickly.

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 camera capture tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool returns (image data, file path, analysis results), doesn't mention camera requirements or permissions, and provides no context about the visual analysis capabilities or limitations.

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 description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds minimal value by mentioning 'optional LM Studio visual analysis' which aligns with the analyzeWithLM parameter, but doesn't provide additional semantic context beyond what's in the schema.

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 clearly states the tool's purpose as capturing a camera snapshot with optional visual analysis. It specifies the verb 'capture' and resource 'camera snapshot', but doesn't explicitly differentiate from siblings like 'look_and_analyze' or 'scan_area' which might have overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer this over siblings like 'look_and_analyze' or 'scan_area', nor does it specify prerequisites or constraints for usage.

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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