x402-markup-calc
Markup Calc: Markup Calc
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cost | No | Cost to process | |
| markup | No | Markup to process | |
| markupPercent | No | MarkupPercent to process |
Markup Calc: Markup Calc
| Name | Required | Description | Default |
|---|---|---|---|
| cost | No | Cost to process | |
| markup | No | Markup to process | |
| markupPercent | No | MarkupPercent 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 explaining side effects, input expectations, and what happens when the tool runs. It discloses none of that; the only content is a repeated name.
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 definition is extremely short, but this is under-specification rather than effective conciseness. There is no front-loaded useful information, only a restatement of the tool name.
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 calculation tool with three string parameters, no required flags, no annotations, and no output schema, the description is completely inadequate. It omits the formula, parameter semantics, expected output, and any usage conditions.
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 description coverage is 100%, so the baseline is 3, but the schema descriptions are minimal templates like 'Cost to process' and 'Markup to process'. The main description adds no meaning, leaving the agent unsure whether markup is an amount or a percentage and why both markup and markupPercent exist.
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 'Markup Calc: Markup Calc', which simply restates the tool name and does not state a specific verb or resource. It also gives no distinguishing information versus closely related siblings such as x402-margin-calc, x402-discount-calc, or x402-profit-margin.
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 or how it differs from alternative calculators. An agent cannot tell whether to choose this over x402-margin-calc or other pricing-related tools.
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.