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

Since no annotations were provided, the description must carry the burden. It successfully discloses a major behavioral constraint: the specific cost per call and the payment method, which is critical for the agent's operational planning.

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 perfectly sized and highly efficient. It front-loads the core functionality and ends with the essential transactional constraint (cost), avoiding fluff entirely.

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?

Despite lacking an output schema, the description comprehensively covers the tool's function, scope (Solana/EVM), the specific metrics retrieved, and the operational costs. No major context is missing.

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?

Given the 100% schema coverage, the description significantly adds value by listing all the specific market data points returned (e.g., 5m/1h/6h/24h volume, FDV, buy/sell counts). This allows the agent to understand the utility of the output beyond just the inputs.

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 uses a specific verb ('Looks up'), identifies the precise resource ('every DEX pair of a token'), and scopes it to specific environments ('Solana or EVM chains'). This clearly distinguishes its market-depth function from general tools like 'crypto_price' or 'token_audit'.

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?

While it doesn't explicitly compare it to every sibling tool, the description provides critical usage instructions regarding the payment mechanism ('0.003 USDC per call via x402') and the multi-step process required for payment proof, which is crucial for correct invocation.

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