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

No annotations are supplied, so the description carries the full burden. It does disclose real behavioral context that structured fields do not: the GeckoTerminal backend, that results are pools plus metadata, and a paid/quotered cost model ('5 free trial calls per signed wallet'), which tells the agent authentication involves a signed wallet and that calls are metered. It says nothing about what happens after the trial expires, rate limits, or result ordering/limits.

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 two compact sentences with the capability front-loaded and the cost note trailing. The emoji-laden trial line is mildly promotional but still conveys usable billing information, so little text is wasted.

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 zero annotation coverage, an undocumented three-parameter schema with no required fields, and no output schema, the description leaves the agent guessing about which parameter to send and when the search is appropriate. It partially covers the return payload ('pools and metadata') but not enough for a tool of this ambiguity.

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 0% across three optional parameters, and the description does not compensate. It never explains the relationship between the overlapping 'q', 'query', and 'symbol' parameters, which one takes precedence, or whether any is required — exactly the ambiguity an agent needs resolved before calling.

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 gives a specific verb+resource ('Search tokens by symbol or name') and names the upstream data source (GeckoTerminal) plus the return shape (matching pools and metadata), which separates it from price/lookup siblings like x402-token-price or x402-token-symbol. It stops short of explicitly naming which sibling to use instead.

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?

There is no when-to-use or when-not-to-use guidance and no reference to any alternative tool, despite dozens of overlapping token tools in the sibling list. The only contextual cue is implicit: this is a discovery step rather than a price query.

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