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

With no annotations, the description carries the behavioral disclosure burden. It usefully reveals the data source/methodology (DexScreener boosts), freshness expectations, and an important cost behavior ($0.02 USDC per call). It does not mention return shape, rate limits, or whether results update in real time, but it does add meaningful behavioral context beyond the tool name.

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?

Three short sentences with no filler. The core purpose is first, the freshness/agent relevance is second, and the cost is third. Every sentence adds value and the whole description is appropriately small for a zero-parameter tool.

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 zero-parameter read-only feed, the description covers the key operational facts: what data is returned (trending pairs by volume), the network (Polygon), the data source, freshness, and per-call cost. There is no output schema, so the description could arguably say it returns token/pair addresses or a list, but the description is still sufficient for an agent to understand what it will receive at a high level.

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 input schema has zero parameters, so the description correctly omits parameter details. With no inputs to explain, the baseline is 4; the description adds context about the feed and cost that helps the agent decide whether calling it is worth the cost.

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 a specific resource ('polygon DEX pairs' ranked by 24h volume, with DexScreener boosts. This is clear enough to distinguish it from polygon_balance, polygon_tx, and even base_trending by network differentiation. It lacks an explicit verb like 'list' or 'fetch,' but the intended meaning is unambiguous.

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?

'Fresh feed for agents' implies this is best used when an agent needs a current, agent-oriented list of trending Polygon DEX pairs, and 'pay-per-call' implies use should be measured. It does not explicitly name alternative tools or state when not to use it, leaving the decision partly to inference.

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