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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so safety behavior is covered. The description adds useful extraction behavior about preferred structured data and failure handling, but it does not explain permissions, rate limits, or what happens during partial extraction.

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 short and front-loaded with the core action. The phrase about page_preview is somewhat cryptic, but the overall three-sentence structure is efficient and avoids unnecessary repetition.

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?

It covers the basic purpose, extraction preference, and failure fallback, which is useful for a read-only annotated tool. However, with no output schema and no parameter descriptions, it leaves workspaceId semantics and return behavior unresolved.

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 0% and the description does not explain either required parameter meaningfully. It implies productUrl from 'product URL' but says nothing about workspaceId, leaving half the required parameters undocumented beyond the schema's raw types.

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 states a specific verb-resource pair: find a product image from a product URL. It is clear enough to distinguish extraction from generation or editing tools, but it does not explicitly name sibling alternatives or fully clarify what 'find' returns.

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?

It gives some when-to-use context, including preferring Product structured data and falling back to upload or direct image URL if extraction fails. However, it does not name the fallback tools or specify when this tool should be avoided in favor of siblings.

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