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

Annotations indicate readOnlyHint=true, but description uses 'create', implying a mutation. This is a contradiction per evaluation rules. Additionally, no extra behavioral context is provided (e.g., no mention that the plan is generated without side effects).

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?

Single sentence, 17 words, front-loaded with purpose. Efficient but packs multiple concepts; could be broken into two 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?

No output schema provided; description does not explain return format or how the plan is delivered. Given both parameters are optional, missing guidance on expected inputs. Annotations provide safety but description lacks sufficient behavioral depth.

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 50% (product described, keywords not). Description adds no parameter-level detail; keywords are not mentioned. The description's 'item setup fields' loosely maps to product but adds no specific guidance.

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?

Description clearly states the tool creates a Walmart Marketplace listing plan, listing included aspects like item setup, content checks, taxonomy needs, and QA steps. This distinguishes it from siblings like amazon_listing_manager.

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?

No explicit guidance on when to use this tool versus alternatives (e.g., product_catalog_validator). No mention of prerequisites, context, or when not to use it.

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