describe_image

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

No annotations are provided, so the description carries the full burden. It discloses that it returns a text description and supports common image formats, but it does not mention potential failure modes, side-effect-free nature, or behavior with invalid paths. For a simple read-only tool this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with three sentences covering purpose, requirement, usage trigger, and supported formats. No redundant information; every sentence adds value.

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

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

The description covers the core functionality, input requirement, formats, and when to use. With an output schema present, return value details are handled. However, optional parameters (prompt, max_tokens) are not explained, which is a minor gap.

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

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

Schema coverage is 0%, so the description must compensate. It explains that image_path must be an absolute local path and enumerates supported formats, but it fails to explain the `prompt` and `max_tokens` parameters, leaving their semantics unclear despite their names being suggestive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool understands and describes image content, returns detailed text, and specifies when to call it (when user asks to view/understand/analyze/describe any image). This clearly distinguishes it from the sibling tool vision_ping.

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

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

It explicitly instructs to use this tool whenever the user asks to view, understand, analyze, or describe any image, and specifies that the input must be an absolute local file path. This provides clear usage context, though it doesn't mention exclusions for non-local or URL-based images.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.