x402-schema-validate
Schema Validate: Validate data against a schema.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Data to process | |
| schema | No | Schema to process |
Schema Validate: Validate data against a schema.
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Data to process | |
| schema | No | Schema 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 only restates the validation action and does not explain the return format, error behavior, expected encoding, or whether the schema is JSON Schema, XML Schema, or something else. This leaves important behavior implicit.
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 and front-loads the action. The leading 'Schema Validate:' label is somewhat redundant with the tool name, but it does not meaningfully hurt usability or add noise.
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 no annotations and no output schema, the description is too sparse to fully prepare an agent. It omits expected input formats, return value, error semantics, and relationships to sibling validation tools, making correct invocation less certain.
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. The description itself adds no additional meaning to the parameters, and the schema's own descriptions ('Data to process', 'Schema to process') are generic, but the description at least implies that 'data' is validated against 'schema'.
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 specific action ('Validate') and a resource ('data against a schema'), so the core purpose is clear. However, it gives no indication of what kind of schema is involved and therefore does not distinguish this tool from strongly related siblings like x402-json-schema-validate or x402-validate.
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 guidance is given about when to use this tool instead of alternatives. The description does not mention exclusions, prerequisites, or conditions that would help an agent choose between x402-schema-validate and the many similar validation tools in the sibling list.
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.