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

Adds substantial behavior beyond the annotations: 404 on missing pairs, 502 on upstream failure, null for unavailable fields, a stated source and retrieval timestamp, and a $0.03 USDC x402 payment cost per successful call. The only tension is that annotations set readOnlyHint=false for what is framed as a lookup; the per-call payment plausibly explains the non-idempotent flag, but the description never reconciles it.

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?

Purpose and scope are front-loaded, followed by error, cost and null-handling details in a compact clause chain. It is information-dense rather than padded, though the run-on enumeration of returned fields is slightly harder to scan than separate sentences would be.

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 carries the return-value burden and does so: it lists the returned fields, the source/timestamp metadata, the null convention for missing data, and the failure modes (404/502). An agent has everything needed to call it and interpret results, including cost.

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%, and the single 'address' parameter is fully documented as a 0x-prefixed 20-byte hex DEX pair address on Base. The description adds little beyond that ('example values are illustrative'), so the baseline 3 applies when the schema does the heavy lifting.

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 verb and resource (Base DEX pair lookup via DexScreener) and enumerates the exact fields returned: verified pair identity, tokens, liquidity, volume, trades, pair age. It also draws a boundary against neighboring concerns ('No pool-security or investment-risk assessment'), which separates it from siblings like contract_risk, token_report and trade_insight.

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?

'Use to check a pair's liquidity before trading' gives a concrete triggering scenario, and the explicit exclusion of security/risk assessment tells the agent when this tool is the wrong choice. It stops short of naming the alternative tool to use instead, so it is clear context without full routing.

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