zuckerbot_creative_cross_analysis

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

With no annotations, the description must convey behavior. It states the tool returns a performance matrix, best/worst combinations, and an insight string, implying a read-only analysis. However, it does not disclose authorization needs, data scope, or potential side effects, leaving some 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 exceptionally concise: two sentences and an example. It front-loads the core purpose and quickly lists return values without unnecessary detail. Every element earns its place.

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 lack of an output schema, the description provides sufficient context by specifying the return components. It covers what the tool produces but could be enhanced by noting that the analysis is read-only and clarifying data source or time range handling.

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 already describes all 7 parameters with 100% coverage, including enums for metric, group_by, and cross_by. The description adds no additional parameter-level information beyond the example, so it meets the baseline but adds no extra value.

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: cross-referencing two creative dimensions to find winning combinations. It provides a concrete example (hook_type vs visual_style) and distinguishes itself from the sibling 'zuckerbot_creative_analysis' by focusing on cross-analysis rather than single-dimension analysis.

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 implicitly indicates when to use: when you need to explore interactions between two creative dimensions. However, it does not explicitly exclude situations where single-dimension analysis would be more appropriate, nor does it mention alternatives.

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