x402-format-compact
Format Compact: Format compact.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Format Compact: Format compact.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure. It discloses nothing: no input source, no output characteristics, no side effects, no edge cases. With an empty schema and a name implying transformation, the agent is left entirely uninformed.
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. 'Format Compact: Format compact.' contributes zero information — it merely reprints the tool name in sentence form. Not a single sentence earns its place.
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, no output schema, no parameters, and a two-word tautological description, the definition is completely inadequate. An agent has no basis to select, invoke, or interpret the result of this tool.
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?
While 0 params would normally merit a baseline of 4, a zero-parameter schema for a tool named 'Format' raises a critical question the description must answer: how does the agent supply the text to be formatted? The description provides no clarification on implicit input, context-based arguments, or prompt embedding, leaving the empty schema actively confusing rather than harmless.
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 'Format Compact: Format compact.' is a verbatim restatement of the tool name — a textbook tautology. It never states what object is formatted, what 'compact' means, or what operation is performed. Given hundreds of sibling format tools (format-binary, format-bytes, format-currency, json-minify), there is zero differentiation.
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 whatsoever about when to invoke this tool versus the numerous formatting/minification siblings. The agent cannot determine whether this is the right tool over x402-json-minify, x402-format-bytes, or any other compact-related tool.
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.