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Describe Image

describe_image

Analyze images to extract text, describe scenes, compare visuals, and answer questions about what is shown. Supports local files, URLs, and base64 encoded images.

Instructions

See and understand images — screenshots, photos, diagrams, charts. Extract text (OCR), describe scenes, compare images, and answer questions about what is shown. Use whenever an image is provided via image_path, image_url, image_base64, or images[].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imagesNoOrdered list of images to analyze. Use this for multiple images; do not combine it with top-level image fields.
promptNoSpecific question or instruction about the image(s). Leave empty for a full description.
image_urlNoPublic http(s) URL of an image that the configured vision model provider can access.
image_pathNoAbsolute path to a local raster image file. Use this when the image is available on disk.
image_base64NoBase64-encoded image data without a data: URI prefix.
image_mime_typeNoMIME type for image_base64. If omitted, VisionPower detects it from image bytes.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes what the tool can do (OCR, description, comparison, Q&A) but does not disclose behavioral traits like whether it is read-only, requires authentication, rate limits, or what happens on invalid images. It provides basic capability information but lacks deeper behavioral context.

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 efficient and front-loaded with key capabilities. It uses a few short sentences without any fluff. Every sentence adds value, making it easy to scan.

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?

The tool has no output schema, so the description should explain what the agent can expect as a return value. It does not describe the output format or content. While it covers input and general capabilities, it lacks information about the response structure, which is a gap for completeness.

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 has 100% description coverage for all 6 parameters, so baseline is 3. The description does not add additional meaning beyond what is already in the schema; it merely lists the same input methods. Therefore, no extra value is provided.

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's purpose: it can see and understand images, extract text (OCR), describe scenes, compare images, and answer questions about images. It also lists the input methods (image_path, image_url, image_base64, or images[]). Since there are no sibling tools, differentiation is not needed. The verb 'describe' aligns with the tool name.

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

Usage Guidelines4/5

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

The description explicitly tells when to use the tool: 'Use whenever an image is provided via...' It provides clear context for usage. However, it does not mention when not to use it or any alternatives, but given no sibling tools, this gap is minor.

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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