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

With no annotations, the description must carry the burden. It adds some useful behavioral context by specifying the pricing model (constant product, virtual reserves) and the quote currency, but it does not state that this is a non-executing quote, nor does it mention fee handling, reverts, or 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?

The description is very concise and front-loaded, with no filler. Both phrases earn their place. It sacrifices detail, but conciseness itself is strong and the core purpose appears first.

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 five-parameter tool with no annotations and no schema descriptions, this description is incomplete. An agent would not know what amount_in refers to, what fee_bps defaults imply, whether payment is relevant, or how the reserve parameters should be populated.

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%, yet the description does not explain quote_reserves, token_reserves, amount_in, fee_bps, or payment. The phrase 'constant product, virtual reserves' hints at the formula, but it does not define the roles or units of any parameter.

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: a bonding-curve SELL quote, using a constant-product formula with virtual reserves. It also names the quote currency (USDC) and the SELL side, distinguishing it from the sibling quote_buy tool.

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 word 'SELL' implies this is for sell-side quotes, but there is no explicit guidance on when to use this tool versus quote_buy, precheck, or other siblings. It gives the agent a strong hint but leaves situational routing to inference.

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