x402-tip
Tip: Calculate tips and bill splits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| amount | No | Amount to process | |
| people | No | People to process | |
| percent | No | Percent to process |
Tip: Calculate tips and bill splits.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | No | Amount to process | |
| people | No | People to process | |
| percent | No | Percent to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Calculate tips and bill splits' and does not state what output is produced (e.g., total with tip, per-person share, rounding behavior), whether inputs are required, or how invalid values are handled. For a calculation tool this is a notable gap.
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 short sentence with no filler. It front-loads the core purpose and earns its place; nothing is redundant or off-topic.
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 simple, but the absence of an output schema and annotations means the description should explain return values and usage more thoroughly. It does not clarify the calculation result, rounding behavior, or how it differs from x402-tip-split, leaving an agent to guess critical invocation 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?
Schema coverage is 100%, so the baseline is 3. The schema parameter descriptions are generic ('Amount to process', 'People to process', 'Percent to process'), but the tool description provides context that amount likely means the bill amount, people the number of diners, and percent the tip percentage. It adds some meaning but does not specify units, formats, or constraints.
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 clear action ('Calculate') and resource ('tips and bill splits'), so an agent knows what the tool does. However, it does not distinguish it from the sibling x402-tip-split, which appears to cover an overlapping purpose, so it gets a 4 rather than 5.
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 no guidance about when to use this tool versus alternatives. In particular, a closely named sibling x402-tip-split exists, but the description does not explain which one to choose or mention any exclusionary conditions. This is effectively no usage guidance.
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.