x402-token-market
x402-token-market: DexScreener token market (price/liquidity/volume)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | Chain to process | |
| token | No | Token to process | |
| address | No | Address to process |
x402-token-market: DexScreener token market (price/liquidity/volume)
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | Chain to process | |
| token | No | Token to process | |
| address | No | Address to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior, but it only identifies the source and data fields. It does not say whether this is read-only, whether it calls DexScreener, what the response contains, or whether any side effects or rate limits apply. The source/field hint is useful but minimal.
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 very short, but it starts by repeating the tool name before the colon, which is redundant. The remaining phrase is compact but reads more like a label than a structured explanation, so it is concise without being well-constructed.
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 alone must make the tool usable. It does not explain how the three optional-looking parameters combine, what a response looks like beyond price/liquidity/volume, or how this differs from closely named siblings. This is insufficient for a tool with three under-specified string parameters.
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 descriptions cover all three parameters, so the baseline is 3. The description does not add any meaning about how chain, token, and address relate, what formats are expected, or which parameters are required together. It neither improves nor harms parameter clarity.
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 resource (DexScreener token market) and the data categories an agent can expect (price/liquidity/volume), so the core intent is fairly clear. It lacks an explicit verb like 'get' or 'fetch' and does not contrast with the many token/dex siblings, but it goes beyond a tautology.
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 use this tool versus alternatives such as x402-token-price, x402-dex-price, or x402-token-search, and no conditions or exclusions are stated. The DexScreener and market-data hints imply a use case, but the description does not actually guide selection among the large set of related token and DEX tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.