x402-is-routing-number
Is Routing Number: Is Routing Number
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Routing Number: Is Routing 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 — and it discloses nothing. It does not state whether this is a boolean check, what input it operates on (the schema is empty, yet the name implies an input is needed), what it returns, or what side effects (if any) exist. The behavior is entirely 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?
Five words is short, but this is under-specification rather than conciseness. The duplicated phrase 'Is Routing Number: Is Routing Number' wastes half the text on restating the name, and no sentence earns its place because no actual information is conveyed.
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?
The tool is completely inadequate for an agent to call correctly: no input schema, no output schema, no annotations, and a tautological description. An agent cannot determine what to pass, what to expect back, or how this differs from x402-routing-number, x402-is-iban, or x402-validate-*. Nothing needed for correct invocation is present.
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 0 parameters, the schema is trivially complete and there is nothing for the description to document. Per the 0-params baseline rule, this dimension is not penalized, though the description's failure to explain how the tool receives a routing number is a purpose/context problem rather than a parameter-semantics one.
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 Routing Number: Is Routing Number' is a pure tautology — it merely restates the tool name with no verb, no resource, and no explanation of the check being performed. It also fails to distinguish this from the sibling x402-routing-number or from the many other validation tools (x402-is-iban, x402-is-credit-card, x402-validate-phone).
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?
There is zero guidance on when to use this tool versus any of its ~1900 siblings. No context such as 'use this to validate a routing number before initiating a transfer' or 'use x402-routing-number instead to look up bank details.' An agent cannot determine the selection conditions.
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.