Generate Image

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

With no annotations, the description itself discloses key behaviors: 'The image is saved to the specified file path and also returned inline.' This reveals the side-effect of file creation and the dual output. However, it does not mention overwrite behavior, API requirements, or failure modes, which would add more transparency.

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, immediately states the core action, and wastes no words. It is front-loaded and easy for an agent to parse.

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?

For a relatively simple tool with a well-described schema, the description covers the main aspects: generation, output location, inline return, and aspect ratios. It lacks details about the inline return format or any prerequisites, but it is sufficiently complete for common 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?

Schema description coverage is 100%, so the schema already documents all parameters clearly. The description adds no extra parameter information beyond summarizing 'text prompt' and 'file path.' Thus, the 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 function: 'Generate an image from a text prompt using Gemini.' It specifies the action (generate), the resource (image), and the method (text prompt + Gemini). It also mentions the output behavior (saved to file, returned inline), making the purpose 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?

The description implies usage by explaining what the tool does, but it lacks explicit guidance on when to use it or prerequisites. It mentions 'Supports various aspect ratios' as a feature but doesn't give specific use-case directives. With no siblings, this is acceptable but not exemplary.

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