vision_analyze

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

No annotations are provided, so the description carries the transparency burden. It discloses important parameter constraints and a security guideline (no API key), but it does not explain what the tool returns, whether it is read-only, or any authentication requirements. This leaves some behavioral aspects ambiguous.

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 two sentences long, front-loaded with the primary action, and every word adds value. There is no redundancy or filler; it is a model of concise, structured writing.

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 complexity (8 parameters, 2 required, no output schema), the description covers critical constraints that are not evident from the schema alone. However, it does not mention return values or the available mode parameter, which would improve completeness. Yet, the schema covers those details, so the description is sufficient for basic use.

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?

The schema provides 100% coverage of parameter descriptions, giving a baseline of 3. The description adds value beyond the schema by stating that exactly one of image_url, image_base64, or image_path must be provided, which is not enforced in the schema. It also reinforces the security note about not passing an API key.

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 function: analyzing an image using a user-specified cloud vision model. It uses a specific verb (analyze) and resource (image with vision model), and it distinguishes itself from sibling tools like vision_list_models, vision_get_setup_guide, and vision_test_connection by focusing on the analysis action itself.

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 gives explicit usage constraints: must provide provider_id, exactly one of image_url/image_base64/image_path, and do not pass API keys. While it does not explicitly name alternative tools for when not to use this one, the constraints and the tool's dedicated role make the usage context clear.

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