gemini_iterate_analysis

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds some context by describing the iterative process (observe-think-act cycles) and mentions handling unexpected results and pivoting approaches, which hints at adaptive behavior. However, it lacks details on permissions, rate limits, or specific output formats, leaving gaps for a tool with no annotations.

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 appropriately sized and front-loaded, starting with a clear purpose statement followed by bullet points that elaborate on key aspects. Each sentence adds value, such as explaining the iterative pattern and referencing ReAct, with minimal redundancy. It could be slightly more concise but is 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 complexity (iterative analysis tool), no annotations, and no output schema, the description provides a good overview of the process but lacks specifics on what the tool returns or how it integrates with siblings. It covers the 'how' of iterative analysis but doesn't fully compensate for the missing structured data, leaving some contextual 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?

Schema description coverage is 100%, so the input schema already documents all parameters thoroughly. The description doesn't add any additional meaning or context for the parameters beyond what's in the schema (e.g., it doesn't explain how 'current_understanding' or 'iteration_goal' relate to the iterative cycles). Baseline 3 is appropriate as the schema does the heavy lifting.

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: to 'guide iterative analysis using observe-think-act cycles for dynamic problem-solving.' It specifies the verb ('guide iterative analysis') and the method ('observe-think-act cycles'), though it doesn't explicitly differentiate from sibling tools like gemini_plan_analysis or gemini_synthesize_findings. The purpose is specific but lacks sibling comparison.

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 through phrases like 'for dynamic problem-solving' and 'Based on ReAct patterns... for complex problem-solving workflows,' suggesting it's for adaptive, multi-step analysis. However, it doesn't explicitly state when to use this tool versus alternatives like gemini_plan_analysis or gemini_synthesize_findings, nor does it provide exclusions or clear prerequisites.

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