x402-json-type
JSON Type: JSON Type
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
JSON Type: JSON Type
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 — and it discloses nothing. 'JSON Type: JSON Type' gives no indication of what the tool does, what it returns, whether it produces side effects, or any edge-case behavior. The description is entirely vacuous on behavior.
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 this is under-specification, not conciseness. A four-word tautology that merely echoes the tool name contains zero informational value. Brief descriptions earn credit when they are information-dense; this one is information-empty.
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?
The definition is completely inadequate for an agent to invoke the tool correctly. With no annotations, no output schema, an empty input schema, and a tautological description, the agent cannot determine what input to supply, what output to expect, or how this tool differs from its siblings. Nothing needed for correct invocation is present.
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 input schema is empty (0 properties), so schema coverage is vacuously 100% and there are no parameter semantics to document. Per the baseline for zero-parameter tools, a 4 is appropriate. The lingering question of how the tool receives input (if it needs any) is a contextual completeness issue, not a parameter semantics gap.
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 'JSON Type: JSON Type' is a pure tautology — it restates the tool name without any verb, resource, or behavioral indication. An agent cannot tell whether this tool validates a JSON type, identifies the type of a JSON value, converts to a JSON type, or does something else entirely. It distinguishes the tool from the thousands of siblings in no way whatsoever.
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. Given the many JSON-related siblings (x402-json-validate, x402-json-format, x402-json-diff, x402-json-parse), the description provides zero context about the specific scenario where x402-json-type is the right choice. No conditions, no exclusions, no alternatives are mentioned.
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.