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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds genuinely new behavioral context: data may be delayed or wrong, a free tier of 100 calls/day, then 0.002 USDC per call prepaid in ~0.01 USDC batches, and that the payment-required response carries an exact amount and payment_token. It does not explain error/retry behavior beyond the payment path.

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?

One dense paragraph, front-loaded with the core capability before the pricing/payment detail. The 'Education/information only; not financial advice' clause does not aid tool selection but is a defensible compliance note, so only minor waste.

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?

With no output schema, the description does state what is returned (per-side price levels plus cumulative base-quantity and quote-notional liquidity) and explains the payment path. It is nearly complete, missing only error/failure semantics beyond the payment-required response.

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 100%, so the schema already documents all five parameters including pool format, levels range, and the payment_token/payment_tx flow. The description restates 'top N price levels' and '±X% of mid' but adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 resource and scope: 'Order book for a DeepBook pool: top N price levels per side and cumulative liquidity (base qty and quote notional) within ±X% of mid.' This clearly distinguishes it from siblings like get_mid_price, get_recent_trades, and get_volume, though it does not name them.

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 description frames the tool as 'Education/information only; not financial advice' and notes data may be delayed, which implies when it is appropriate to use, but it never says when to choose this over siblings such as get_mid_price or get_pool_stats. Usage is left to inference from the purpose statement.

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