x402-relation-extract
Relation Extract: Relation Extract
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| label | No | Label to process | |
| labels | No | Labels to process | |
| content | No | Content to process |
Relation Extract: Relation Extract
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| label | No | Label to process | |
| labels | No | Labels to process | |
| content | No | Content 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 does not mention what input it expects semantically, what output it produces, whether it mutates anything, or any side effects. The description provides no behavioral information beyond the bare name.
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 it is under-specified rather than concise. The six-word tautology occupies the entire description without earning its place, since it only repeats the tool name.
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?
This is a specialized relation-extraction tool with four string parameters, no output schema, and no annotations, but the description gives no information about expected input format, semantics of the parameters, or return value. An agent has essentially no idea how to invoke this tool correctly.
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 description coverage is 100%, so the baseline is 3 even though the tool description adds nothing about parameters. However, the schema's parameter descriptions ('Input to process', 'Label to process', etc.) are generic placeholders and do not clarify how input, label, labels, and content relate to relation extraction.
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 is a pure tautology: 'Relation Extract: Relation Extract' simply restates the tool name and provides no verb, resource, or behavior. It fails to state what the tool actually does or how it differs from similarly named siblings like x402-ner-extract or x402-entity-link.
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 whatsoever about when to use this tool or when to prefer an alternative. The description contains no context, conditions, or exclusions, leaving the agent with no basis for selecting this tool over its many siblings.
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.