x402-poly-volume
Poly Volume: Polymarket trading volume.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Poly Volume: Polymarket trading volume.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits. It does not state whether this is a read-only retrieval, whether data is real-time or historical, what time period is covered, or any rate limits or external dependencies. For a data-fetch tool with zero annotation coverage, this is a critical omission.
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 extremely short, but the leading 'Poly Volume:' phrase merely repeats the tool's name and adds no information. While there is no wordiness, this is under-specification rather than purposeful conciseness, and the structure is essentially a label plus a definition.
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?
For a simple 0-parameter tool with no output schema, the description should still clarify what value is returned (e.g., total volume, 24h volume, per-market volume). 'Polymarket trading volume' is ambiguous about scope and units, so the agent is left guessing, especially given the large number of closely related poly-* siblings.
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 tool has zero parameters and the schema is empty with 100% coverage, so there is no parameter detail for the description to add. Per the rubric, a 0-parameter tool earns a baseline of 4.
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 (Polymarket trading volume) but uses no verb to state what the tool does. 'Poly Volume:' essentially restates the tool name with the word 'Polymarket' added for domain context, so it is clearer than a pure tautology but still vague about the operation performed.
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, what conditions favor it, or how it differs from siblings like x402-poly-price, x402-poly-markets, or x402-volume. An agent must infer usage purely from the noun phrase, which is minimal.
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.