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describe_image

Analyze an image file using a vision model to return a textual description, or answer a specific question about the image.

Instructions

Describe an image file using a vision model and return a textual description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesPath to the image file.
questionNoOptional question about the image.
Behavior2/5

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

No annotations are provided, leaving the description to carry the full burden of behavioral disclosure. It discloses that it returns a textual description, but it fails to mention the optional question handling, any operational details, limitations, or potential side effects. For a tool that likely only reads an image, more context is expected.

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?

A single, concise sentence that front-loads the core action. Every word earns its place, and the structure is clear and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two parameters and no output schema, the description provides the essential return behavior ('return a textual description'). It could be more complete by mentioning the optional question capability, but the schema already covers that parameter. Overall, it is adequately complete for its simplicity.

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 both parameters described. The description does not add any parameter-specific meaning beyond the schema; it simply re-states the action. The optional question parameter is not mentioned in the description, but the schema already covers it, so the baseline score of 3 is appropriate.

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 a specific action—describing an image file using a vision model—and its output is a textual description. It is unambiguous and, despite having no siblings, effectively communicates its unique function.

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?

There are no sibling tools or explicit alternatives, so it cannot provide when-not guidance. However, the description clearly implies its use case via 'using a vision model' and 'image file', providing clear context. It does not explicitly exclude other uses, but that is acceptable given no alternatives exist.

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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