zuckerbot_creative_qa

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

With no annotations, the description carries the full burden of disclosure. It states the tool returns a 'pattern-match score' and accepts raw specs, implying a read-only operation with no side effects. However, it does not explicitly confirm safety (e.g., no data modification) or address permissions, latency, or error scenarios. The description is adequate but not fully transparent.

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 concise: two sentences clearly state purpose, input/output, and usage advice. No redundant or extraneous words, and critical information is front-loaded. Every sentence serves a purpose.

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 tool's simplicity (2 parameters, no nested objects, no output schema), the description covers purpose, inputs, output (pattern-match score), and usage timing. It is mostly complete for an agent to decide when and how to invoke it. Minor gaps include lack of detail on scoring methodology or data prerequisites, but these are not critical for invocation.

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 coverage is 100%, with all parameters already well-documented. The description adds context by listing examples like 'copy, headline, CTA, asset URLs, frame URLs', but this largely echoes the schema. For a high-coverage schema, the baseline is 3, and the description does not significantly enhance understanding 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 'Score proposed creative variants against the business's historical top-performing patterns', providing a specific verb (score) and resource (creative variants). It distinguishes from sibling tools like zuckerbot_suggest_angles (which suggests new angles) and zuckerbot_creative_analysis (which likely analyzes existing creatives).

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 explicitly advises 'Use this before producing expensive creative assets to pre-validate concepts against what has historically worked', giving clear usage context and benefit. However, it does not explicitly mention when not to use it or provide alternative tools, which would warrant a 5.

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