gold_wc_desc_bulk_byok

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

With no annotations provided, the description carries the full burden, and it does well: it states the tool writes descriptions, reads product data, skips existing long descriptions unless overwrite=true, and clarifies that the API key stays local and billing goes to OpenAI. It does not mention confirmation flow or return values, so it is not fully transparent, but it is genuinely informative.

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 compact and front-loads the core capability before adding key caveats about existing descriptions and pricing. The 'POWER:' prefix is minor marketing fluff and slightly reduces precision, but the overall structure is efficient.

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?

The definition covers the central workflow, paywall constraint, key locality, and overwrite behavior, with support from the schema for confirm and dry_run. Still, it lacks any mention of return format/output and does not fully orient the agent around the confirmation/dry-run execution model, leaving some gaps for a paid, mutating bulk tool.

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 schema already documents confirm, dry_run, and product_ids, while the description adds useful context for overwrite and the BYOK mechanism. However, tone and words are not explained beyond their schema defaults/enums, and the description only partially compensates for the 50% schema coverage.

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 identifies a specific action—bulk-generating unique WooCommerce product descriptions via a user-provided OpenAI key—and summarizes the read-to-write flow. It does not explicitly differentiate itself from sibling tools like gold_wc_seo_meta_bulk, so it stops short of a 5.

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 use case is implied: bulk product description generation. It also adds practical constraints like BYOK and PRO-only access. However, it does not name alternatives or state explicit when-to-use/when-not-to-use conditions, leaving this dimension only partially covered.

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