x402-add-commas
Add Commas: Add thousands separators to a number.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Add Commas: Add thousands separators to a number.
| 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. It discloses only the core transform and says nothing about how the number is supplied — the input schema is empty — nor about output format, locale conventions, decimals, negatives, or error cases. The missing input mechanism is a serious undisclosed trait for an agent attempting a correct call.
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 a single front-loaded sentence with no wasted words — 'Add thousands separators to a number' earns its place. The only redundancy is the 'Add Commas:' prefix, which restates the tool's name and adds marginal value.
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 no output schema, no annotations, and an empty input schema, the one-line description must do heavy lifting and does not. The critical unknown — how the number is passed when zero parameters are declared — is never addressed, and there is no delineation against overlapping siblings like x402-format-thousands.
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?
With zero parameters there are no schema descriptions to supplement, which normally sets a higher baseline. Yet the description names an operand ('a number') that the empty schema cannot carry, and it never explains how that operand is provided. An agent reading this cannot determine what arguments to supply or whether any are needed.
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 verb and resource: 'Add thousands separators to a number.' The intent is immediately understandable. However, among the large sibling list, near-twins like x402-format-thousands and x402-format-integer exist, and the description does nothing to differentiate this tool from them.
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 gives zero guidance on when to use this tool or when to choose a sibling instead. Overlapping siblings such as x402-format-thousands, x402-format-integer, and x402-number-humanize are nearby, and the description never routes the agent among them.
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.