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. It merely says 'Configure your Gemini API token' without disclosing whether the token is stored persistently, overwrites existing configurations, or has any side effects. This is a significant gap for a mutation-like tool.

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, clear sentence with no unnecessary words. It is appropriately front-loaded with the verb and object.

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?

The tool is simple (1 param, no output schema), and the description states its purpose and domain. However, it lacks behavioral context such as persistence or success/failure indications, which matters given the absence of annotations. It is adequate but has clear gaps.

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 already provides a description for apiKey ('Your Gemini API key from Google AI Studio'), and the description adds only the term 'token', which is synonymous. With 100% schema coverage, there is no additional meaning added.

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 uses the specific verb 'configure' and identifies the resource 'Gemini API token', clearly distinguishing this from sibling tools like generate_image or get_configuration_status. It also connects to the domain of nano-banana image generation.

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 nano-banana image generation' implies this is a prerequisite for generation, but it does not explicitly state when to use it versus alternatives like get_configuration_status, nor does it mention exclusions. The usage is implied rather than explicit.

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