x402-format-thousands
Format Thousands: Format thousands.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Format Thousands: Format thousands.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior, but it only says 'format thousands' without describing input requirements, output structure, edge cases, or whether it returns a string or number. An agent cannot predict what will happen when calling this tool.
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 but redundant: 'Format Thousands' is repeated as 'Format thousands'. It is not appropriately structured, as the second sentence merely duplicates the first without adding any useful information or context.
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?
Given that there is no output schema and no annotations, the description should explain what the tool accepts and returns. It does neither, leaving agents to guess the tool's behavior. The low complexity of the tool does not excuse the lack of essential operational details.
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?
There are zero parameters in the schema, so the baseline is 4 per the rubric. The description adds no parameter-level detail, but there are no parameter definitions to contradict or expand upon. The only gap is that it doesn't explicitly explain how the number to format is supplied to the tool.
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 is essentially a tautology: 'Format Thousands: Format thousands.' It restates the tool name without specifying what formatting action is performed on thousands. It fails to distinguish itself from many sibling tools like x402-add-commas, x402-number-humanize, or x402-format-integer, which could all plausibly format thousands.
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 no indication of when to use this tool versus alternatives. There is no mention of scenarios, examples, or exclusions. Sibling tools such as x402-add-commas and x402-format-compact would likely serve similar purposes, and nothing here helps an agent choose correctly.
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.