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ask_image

Ask any question about an image by providing its file path and receive an answer from a local vision model.

Instructions

Ask any question about an image.

Args: image_path: Absolute path to the image file question: Your question or prompt about the image

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYes
image_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description is too minimal to disclose behavioral traits. It does not mention limitations (e.g., image formats, size), network usage, or what happens with the image. The agent gets no insight into side effects or requirements beyond the bare function.

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 concise and front-loaded. The first sentence states the purpose, and the Args section clearly lists parameters with brief explanations. No wasted words or redundant content.

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?

Despite having an output schema, the description is incomplete for a tool with no annotations. It does not mention expected output structure, error conditions, or any constraints. Given the sibling tools, it also fails to position itself contextually. The description is adequate for the simplest case but lacks depth.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only parameter titles with 0% description coverage. The description adds meaningful semantics: 'Absolute path to the image file' clarifies that image_path must be filesystem-absolute, and 'Your question or prompt about the image' clarifies the question parameter. This compensates well for the lack of schema descriptions.

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 'Ask any question about an image' clearly states the tool's function with a specific verb and resource. It distinguishes itself implicitly from sibling tools like describe_image and ocr_image by focusing on arbitrary questions, though it does not explicitly differentiate them.

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?

There is no guidance on when to use this tool versus alternatives such as describe_image or ocr_image. The description simply states what it does without any prerequisites, exclusions, or context for choosing it.

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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