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 mentions the model type and supported input methods, but does not disclose important behavioral traits such as whether the tool is read-only, any rate limits, or how it handles errors. This is adequate but not thorough.

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 a single, well-structured sentence that immediately conveys the tool's purpose and supported input formats. Every word serves a clear function; no verbose or redundant phrasing.

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?

Despite high parameter coverage, the description omits critical context. It does not mention the output format (e.g., textual description), how to use the optional prompt, or the constraint that top-level image fields and the images array are mutually exclusive. This could lead to incorrect usage.

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 description coverage is 100%, so all parameters have detailed descriptions. The tool-level description adds a high-level summary ('Analyze... supports...') but does not provide additional meaning beyond what is already in the schema. Baseline of 3 is appropriate.

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 clearly states the tool's purpose: analyzing images using an OpenAI-compatible vision model. It enumerates the supported input formats (image_path, image_url, image_base64, images[]), making it specific and unambiguous.

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?

No sibling tools are listed, so usage guidance relative to alternatives is absent. The description implies the tool is for vision-based image analysis, but does not specify when to use it over hypothetical alternatives or note any prerequisites.

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