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

With no annotations, the description carries the full burden and does so: it warns this 'creates a REAL live Amazon listing on the user's account', discloses the fallback to projected_sale_price and that the call fails if none exists, and mandates user confirmation before listing. These are exactly the mutation and failure-mode traits an agent needs.

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?

Front-loads purpose, then prerequisites, then the critical pricing rule and fulfillment semantics in tight, well-labeled blocks. Every sentence earns its place; the emphasis on the price confirmation is justified for a live-listing action.

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?

For a high-stakes mutation tool with no annotations and no output schema, the description covers the destructive nature, prerequisites, and pricing fallback well. It falls short only on quantity/condition semantics and any permission requirements.

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 0%, so the description must compensate. It deeply explains sale_price (default source, fallback, failure mode) and decodes fulfillment (AMAZON_EU=FBA, DEFAULT=FBM), but leaves quantity and condition entirely undocumented in both schema and description.

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?

States a specific verb and resource ('Create the Amazon listing') and positions it in the workflow as 'the final step' for a purchased item. This clearly distinguishes it from siblings like generate_sku and analyse_product, which are named as prerequisites.

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?

Explicitly states prerequisites (ASIN, listing_sku via generate_sku, sale price) and the ordering condition that selects those alternatives. The sale-price rule names analyse_product as the source of the default, giving concrete when/how guidance.

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