x402-json-values
JSON Values: JSON Values
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
JSON Values: JSON Values
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals nothing about what the tool does with the input, what output format to expect, whether it mutates anything, or any edge-case behavior. The definition is completely opaque.
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?
While extremely short, this is under-specification rather than genuine conciseness. There is no substantive information front-loaded or otherwise — the sentence merely mirrors the tool name and is not more informative than the name itself.
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 tool with a single vaguely-described parameter, no output schema, and no annotations, the description needed to explain purpose, expected input format, and return value. It explains none of these, leaving an agent unable to select or invoke the 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%, and the parameter 'value' has a description ('Value to process'), so the baseline of 3 applies. However, the tool description itself adds no semantic value beyond the schema — it doesn't clarify what kind of value or what processing is performed.
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 Values: JSON Values" is a pure tautology that restates the tool name without adding any information. There is no verb, no defined resource, and no explanation of what operation is performed. With dozens of sibling JSON tools (x402-json-parse, x402-json-keys, x402-json-type, etc.), an agent cannot tell what distinguishes this tool.
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?
The description contains zero guidance on when to use this tool versus any of the numerous JSON-related siblings. No context, no scenarios, no exclusions, and no mention of alternatives are provided.
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.