configure_gemini_token

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 states the tool configures an API token, implying a write or setup operation, but does not disclose key behavioral traits such as whether this persists across sessions, requires specific permissions, has side effects (e.g., overwriting existing config), or error handling. This leaves significant gaps for a configuration tool with no annotation support.

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, efficient sentence: 'Configure your Gemini API token for nano-banana image generation.' It is front-loaded with the core action and context, with zero wasted words. Every part of the sentence contributes to understanding the tool's purpose, making it highly concise and well-structured.

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 as a configuration operation with no annotations and no output schema, the description is incomplete. It does not cover what happens after configuration (e.g., success response, error cases), how it interacts with sibling tools like 'generate_image', or behavioral details. For a tool that likely mutates state or sets up critical API access, more context is needed to be fully helpful.

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 input schema has 100% description coverage, with the 'apiKey' parameter well-documented as 'Your Gemini API key from Google AI Studio.' The description adds no additional parameter semantics beyond this, as it does not explain format, validation, or usage context for the key. With high schema coverage, the baseline score of 3 is appropriate, as the schema handles the heavy lifting without extra value from the description.

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: 'Configure your Gemini API token for nano-banana image generation.' It specifies the verb ('configure') and resource ('Gemini API token'), and mentions the context ('nano-banana image generation'). However, it does not explicitly differentiate from sibling tools like 'get_configuration_status' or 'get_last_image_info', which might be related to configuration or image info, so it misses full sibling distinction.

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 no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing a token before generating images), exclusions (e.g., not for editing images), or direct alternatives among the sibling tools. The context 'for nano-banana image generation' implies a use case but lacks explicit when/when-not instructions.

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