ask_gemini_agent

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

The description openly lists the agent's capabilities (web search, URL analysis, code execution). Without annotations, it carries the full burden and does so fairly well, though it omits potential limitations or failure modes.

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 sentence that efficiently conveys the tool's purpose. It is concise but not overly terse; however, it could be broken into shorter sentences for clarity.

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 single parameter and no output schema or sibling tools, the description provides sufficient context to understand when and how to use the tool. It covers the agent's main capabilities.

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 sole parameter 'query' is well-described in the schema as 'the task, question, or research topic.' The tool description reinforces this by explaining the agent's actions, adding context beyond the schema.

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 agent's capabilities: web search, URL analysis, and Python code execution. It specifies the resource (Gemini agent) and actions, 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 provides clear context on when to use the tool ('complex problems, data analysis, research questions'). However, it does not explicitly state when not to use it or list alternatives, though no sibling tools exist.

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