x402-format-m-m-d-d-y-y-y-y
Format M M D D Y Y Y Y: Format a date as MMDDYYYY.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Format M M D D Y Y Y Y: Format a date as MMDDYYYY.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it only states that a date is reformatted to MMDDYYYY. It does not disclose acceptable input representations, edge-case handling, or how the date is supplied given the empty input schema. This is adequate for a simple pure formatting operation but leaves invocation details unclear.
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 sentence and front-loads the key information ('Format a date as MMDDYYYY'). It repeats the 'M M D D Y Y Y Y' initialism from the name, adding slight redundancy but no meaningful bloat.
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 zero-parameter, no-output-schema tool, the description is nearly the only guidance, yet it omits how the input date is provided—a critical gap given the empty input schema. It also does not mention return format beyond the transformation or clarify handling of invalid inputs. This makes the definition insufficient for fully correct invocation.
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 defines zero parameters, so the baseline is 4. The description adds no parameter-level details, but with no parameters present, there is nothing additional the description must explain.
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 ('Format'), a resource ('a date'), and the exact output ('MMDDYYYY'), making the tool's purpose unambiguous. It also differentiates from siblings like x402-format-d-d-m-m-y-y-y-y and x402-format-y-y-y-y-m-m-d-d by naming the target layout.
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 implies when to use the tool—when an MMDDYYYY output is needed—but offers no explicit comparison with sibling formatting tools or guidance on when not to use it. The use case is understandable, but alternatives and exclusions are absent.
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.