x402-moving-average
Moving Average: Average of moving.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Data to process | |
| period | No | Period to process | |
| window | No | Window to process |
Moving Average: Average of moving.
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Data to process | |
| period | No | Period to process | |
| window | No | Window 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 disclosing behavior. It does not mention input format, how period and window are used, handling of missing values, or the output shape. 'Average of moving' conveys no behavioral information.
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 but not appropriately concise; it sacrifices substance for brevity. The single sentence 'Average of moving' is a placeholder that does not earn its place and provides no useful front-loaded information.
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 3 vaguely described parameters, no annotations, and no output schema, an agent has almost no basis to invoke this tool correctly. The description fails to specify required inputs, data format, or return value.
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 nominally 100%, but each parameter description ('Data to process', 'Period to process', 'Window to process') is a near-tautology that adds no real meaning. The description does not clarify how these parameters relate or what formats are expected, so the semantic burden remains unmet.
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 'Moving Average: Average of moving' is a tautology that merely restates the tool name without explaining what it computes or over what data. It does not distinguish this tool from closely related siblings like x402-sma, x402-ema, or x402-moving-std.
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. The sizable sibling list includes many overlapping statistical tools (sma, ema, moving-std, moving-sum), yet the description gives no context, exclusions, or routing hints.
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.