x402-pool-intel
Liquidity Pool Intel: A-B pair pool depth and best pool.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| tokenA | No | TokenA to process | |
| tokenB | No | TokenB to process |
Liquidity Pool Intel: A-B pair pool depth and best pool.
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| tokenA | No | TokenA to process | |
| tokenB | No | TokenB to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It doesn't mention whether this is a read-only lookup, if it queries a specific chain, what tokens it accepts, or whether it returns live or cached data. The description merely names the output, which is minimally informative for a 4-parameter 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?
The description is short and front-loads the main purpose, which is good for conciseness, but the missing details are critical for usability. It earns a 3 because it's efficient but under-specified.
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 4 parameters, no output schema, and no annotation context, the description should provide strong guidance on parameter selection and behavior. It doesn't, and the placeholder schema descriptions make the tool unusable without additional internal knowledge.
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 schema descriptions are placeholders ('A to process', 'B to process'), so they provide zero real meaning. The description doesn't explain the relationship between 'a/b' and 'tokenA/tokenB', leaving ambiguity about which pair of parameters to use and whether both sets are required or aliases.
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 clear resource ('Liquidity Pool Intel') and a specific output ('A-B pair pool depth and best pool'), so it names a verb-plus-resource combination. However, it doesn't identify itself relative to sibling tools like x402-dex-depth or x402-poly-depth, which are closely related and could be confused with this one.
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?
No context is given for when to use this tool over the many DeFi/depth siblings. The description doesn't state the required parameters, chains, or any conditions for invoking it, leaving the agent to guess which token pair inputs to provide and when this tool is appropriate.
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.