base_trending_tokens

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

With no annotations, the description must carry the burden, and it does disclose two useful traits: the data is pre-screened against honeypots/malicious taxes/prompt injections, and the call costs 0.01 USDC. However it omits return format, ordering, how many pairs, and any rate limits, which are relevant for a pre-paid data-fetch tool.

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 short sentences, front-loading the data scope and then the cost, with zero redundant or filler text. Every clause earns its place.

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?

There is no output schema and no annotations, so the description is the only contract. It covers what data and the price, but says nothing about the shape of the result (fields, count, ordering), leaving an agent partially informed for a paid data tool.

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?

Only one parameter exists and the schema already documents it at 100% coverage ('Target blockchain network'). The description adds nothing about the chain parameter, so it sits at the baseline where the schema does the work.

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 identifies a specific resource ('Top trending Base DEX pairs') and a concrete scope ('Base'), so an agent knows exactly what data comes back. It does not need sibling differentiation here since no sibling tool overlaps this Base DEX-pair listing function.

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?

It states what the tool returns but gives no when-to-use guidance, no preconditions, and never points to alternatives among the many sibling tools. Usage is left entirely to inference.

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