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 of behavioral disclosure. It usefully states that the answer is based only on what is visible in the image, and the read-only nature is implied by 'interpret'. However, it does not mention potential side effects, external API dependencies, error behavior, or permission requirements.

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?

Every sentence earns its place: the main purpose, the two parameter definitions, and the behavioral constraint that the answer depends only on visible content. It is front-loaded with the primary purpose and contains no filler.

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 that an output schema exists, return values need no explanation. The description covers the tool's purpose, parameters, and a key behavioral boundary. Minor gaps include handling of invalid image paths and any limitations of the vision model, but the essential information for calling the tool is present.

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 0%, but the description compensates by explaining both parameters: 'image_path is the relative path of the image inside the target project' and 'description explains what the requesting model wants to know about the image'. This adds meaning beyond the bare schema definitions.

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 interprets an image using the Gemini vision model, specifying both the verb (interpret) and the resource (image from the target project). It does not explicitly compare itself to sibling tools like create_image, but the purpose is specific enough that an agent can tell what the tool does.

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 phrase 'for models without vision capability' gives a clear context for when this tool should be used. It does not explicitly mention alternatives or when not to use it, but the intended scenario is clearly communicated.

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