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

No annotations are provided, so the description carries the full burden. It does disclose that this is an external GeckoTerminal-backed lookup and states the return shape (pools and metadata), which is useful. However, it omits result limits, pagination, network/chain scope, latency, rate-limit traits, and what happens on no match—behavioral context an agent would want for an external API 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?

One sentence, 19 words, with the core action and data source front-loaded. The leading 'Token Search:' prefix is redundant with the sentence that follows, but the it is otherwise tight and every remaining word 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?

With no annotations and no output schema, the description must do heavy lifting, but it only says 'pools and metadata' without structure, omits param usage guidance, and gives no coverage/limits/pagination. An agents cannot fully determine how to invoke it correctly, especially given the ambiguous q/query/symbol params.

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 coverage is 100%, so baseline is 3, but the schema descriptions ('Q to process', 'Query to process', 'Symbol to process') are tautological templates that add no meaning. The description clarifies that search is by symbol or name, but leaves a real mapping problem: it never explains whether 'q', 'query', or 'symbol' should carry the search term, or whether they are aliases/filters.

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 names a specific verb (Search), resource (tokens), and data source (GeckoTerminal), and states the output (matching pools and metadata). The GeckoTerminal mention and 'Token Search' title help set it apart from the many token-utility siblings (token-price, token-intel, token-symbol), though it never explicitly names a sibling it is not.

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 guidance on when to choose this tool vs the many related siblings (x402-token-symbol, x402-token-intel, x402-crypto-price, x402-dex-scanner, x402-price-screener, x402-search). The intended context is only implied by the verb 'Search'—no exclusions, prerequisites, or alternative routing are given.

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