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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds important context: the tool costs $0.09 via x402, is live, sources data from Dexscreener, and covers every chain. It does not describe error behavior or response structure, but the key operational traits are disclosed.

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?

Two sentences with dense, relevant information: cost, source, scope, metrics, and target use cases. No filler or repetition that undermines clarity.

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 simple query tool with only one required parameter and no output schema, the description supplies most needed context: what to pass, what data comes back, cost, and live source. The main gap is that x_payment semantics and response format are not specified, but the tool remains invocable with the given information.

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?

The q parameter is already described in the schema, and the description mostly restates it without adding new meaning. The x_payment parameter has no schema description and the 'via x402' phrase implies payment context but does not explain what value the parameter should take. Partial compensation only.

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 the tool as providing live decentralized-exchange data for any token, and enumerates the specific metrics returned (USD price, 24h volume, liquidity, buy/sell counts, momentum across timeframes). This is specific enough to distinguish it from sibling tools like crypto_prices or token_launches_feed.

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 gives clear usage context ('For crypto trading, sniping, and research agents') and implies the tool is appropriate for cross-chain DEX token data queries. It does not explicitly name alternative tools or exclusion conditions, but the use-case framing is sufficiently clear.

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