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

No annotations are provided, so the description carries the full behavioral burden. It does add useful context by disclosing a $0.005 USDC cost and noting the data is normalized. However, it does not explicitly confirm this is a read-only operation, explain how payment is handled, or mention any failure/rate-limit behavior.

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 one focused sentence that front-loads the core purpose and key return fields, then adds the cost. Every word earns its place and there is no redundant filler.

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 tool has an output schema, which helps, but the description still omits essential call context for a paid tool: accepted chain/address formats, payment parameter semantics, and when to prefer this tool over siblings. The $0.005 USDC cost is mentioned but not operationalized.

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%, so the description must compensate, but it does not explain chain, address, or the payment parameter. The '$0.005 USDC' hint relates to payment but leaves unclear what value the payment parameter should take and whether it is needed given its null default. No input parameter semantics are meaningfully clarified.

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 the tool returns a normalized token market snapshot and enumerates the key fields: price, liquidity, FDV, volume, age. It clearly identifies the resource (token market data) and the intent, though it lacks an explicit verb and does not explicitly distinguish itself from the token_risk sibling.

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 provides no guidance on when to use this tool versus token_risk, precheck, quote_buy, or quote_sell. It does not state prerequisites, context, or exclusion conditions. The context is only implied by the word 'snapshot'.

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