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Analyze Image (Caption)

caption_image

Analyze any public image URL to get scene descriptions, object identification, text reading, and answer questions.

Instructions

Analyze an image from URL using AI vision. Describe scenes, identify objects, read text, and answer questions about the image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlYesPublic URL of the image to analyze
promptYesAnalysis prompt (e.g. 'Describe the scene in detail')
system_promptNoSystem prompt for the analyst
Behavior2/5

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

No annotations are present, so the description must carry full behavioral disclosure. It only states high-level functionality without detailing privacy implications, error handling (e.g., inaccessible URLs), rate limits, or any authentication requirements.

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?

Two concise sentences front-load the main purpose and immediately follow with capabilities. No redundant information, every sentence earns its place.

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?

For a tool with 3 parameters and no output schema, the description covers the basic purpose but lacks behavioral context (e.g., output format, error scenarios). It is adequate but leaves gaps that would help an agent use the tool correctly.

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 all parameters documented. The description adds minimal context beyond the schema by mentioning 'from URL' and 'analyze with prompt' but does not enrich the meaning of system_prompt.

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 the tool analyzes an image from URL using AI vision, and lists specific capabilities (describe scenes, identify objects, read text, answer questions). It effectively distinguishes from the sibling caption_video which handles video.

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

Usage Guidelines3/5

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

The description implies usage on images accessible via URL but does not provide explicit when-to-use or when-not-to-use guidance, nor mentions alternatives like caption_video or potential prerequisites.

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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