analyze_image

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context beyond the input schema by specifying that the image must be publicly accessible via URL, which is a key constraint. However, it lacks details on rate limits, authentication needs, error handling, or response format, leaving gaps in behavioral understanding.

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 appropriately sized and front-loaded, starting with the core purpose and key constraint. The examples are concise and relevant, adding practical value without unnecessary elaboration. Every sentence earns its place by enhancing clarity and usability.

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?

Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is partially complete. It covers the purpose and key constraint well but lacks details on behavioral aspects like response format, error cases, or performance characteristics. Without annotations or output schema, more context would improve completeness.

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 the schema already documents all parameters thoroughly. The description does not add significant meaning beyond the schema, such as explaining parameter interactions or providing additional examples. The baseline score of 3 is appropriate since the schema handles the heavy lifting.

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 specific action ('analyze an image'), the resource ('image'), and the method ('using Qwen3-VL-8B vision-language model on Blaxel'). It distinguishes from siblings like 'analyze_video' and 'video_qa' by focusing exclusively on image analysis, not video processing or configuration tasks.

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?

The description provides clear context for when to use this tool ('analyze an image') and includes practical examples of typical use cases. However, it does not explicitly state when NOT to use it or name specific alternatives among siblings, such as 'analyze_video' for video content or 'extract_video_text' for text extraction from videos.

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