search_gemini

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions timeout behavior which is useful, but doesn't describe what the tool actually does (generates text? answers questions? searches web?), what format the response takes, rate limits, authentication requirements, or error conditions. For an AI tool with no annotation coverage, this leaves significant behavioral gaps.

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 brief but inefficiently structured. The first part 'Google Gemini AI' is vague, and the 'Args' section duplicates schema information. While concise, it doesn't front-load the most important information about what the tool actually does. The two-sentence format could be more effectively organized.

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 search/AI tool with no annotations and no output schema, the description is incomplete. It doesn't explain what kind of results to expect, how Gemini differs from other AI services, or what the tool actually produces. Given the complexity of AI tools and the rich sibling tool ecosystem, this description leaves too many contextual questions unanswered.

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 fully documents both parameters. The description adds minimal value by restating parameter names and types in a less structured format. It doesn't provide additional semantic context beyond what's in the schema descriptions, so baseline 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 purpose as 'Google Gemini AI' which identifies the specific AI service being accessed. However, it doesn't distinguish this from sibling tools like search_chatgpt or search_claude beyond naming the service. The 'Args' section adds operational context but doesn't fully articulate the action being performed beyond 'search'.

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 about when to use this tool versus the many sibling search tools (search_bing_search, search_chatgpt, search_claude, etc.). There's no indication of Gemini's specific capabilities, strengths, or appropriate use cases compared to alternatives. The agent receives no help in tool selection decisions.

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