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

With no annotations provided, the description fully discloses behavioral traits: payment via x402 (0.005 USDC), returning payment-required metadata at the paid endpoint, typed JSON with freshness fields, and that it's raw market data not financial advice. No contradictions.

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 front-loaded with core purpose, then lists parameters, explains sources, payment, and return. It is comprehensive but slightly verbose; each sentence contributes, but some redundancy (e.g., repeated mention of 'x402') could be trimmed.

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?

Given no output schema, the description adequately covers return values (typed JSON rows, freshness fields) and payment flow. It explains all parameters and sources. An example return structure would improve completeness, but current level is sufficient.

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 100%, so baseline is 3. The description adds significant value by explaining what each source returns (e.g., DexScreener, GoPlus, DefiLlama) and the role of the 'q' parameter (free-text intent). This exceeds baseline.

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 states the tool as a unified query endpoint for three on-chain data verticals. It uses a specific verb ('query'/'adapt') and distinguishes itself by covering multiple verticals from one call, differentiating from sibling tools that are likely single-purpose.

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 explains each data source and when to use them (e.g., base_dex for ranked tokens, token_risk for security card, defi_yields for DeFi pools). It does not explicitly exclude sibling tools but provides clear usage context and hints at self-describing capabilities via ?describe=1.

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