x402-ipo-watch
Ipo Watch: IPO watchlist and calendar.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| symbol | No | Symbol to process | |
| ticker | No | Ticker to process |
Ipo Watch: IPO watchlist and calendar.
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| symbol | No | Symbol to process | |
| ticker | No | Ticker to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden, and it discloses almost nothing — no explicit read-only claim, return shape, data freshness, or external-source behavior. 'Watch' weakly implies passive observation, but that is an inference, not a disclosed trait. The description adds no behavioral context beyond a domain label.
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 fluff, so it is compact and readable. However, roughly half of it ('Ipo Watch') duplicates the tool name, and the informative remainder is a trailing noun phrase. It is concise but thin — appropriately sized in word count, but of limited informational value.
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?
With no annotations, no output schema, and three boilerplate optional parameters, the description was the only chance to teach correct invocation, and it doesn't — it never says what each input means, whether a bare call returns the full IPO calendar, or what the response contains. For an agent facing three interchangeable 'process' parameters, this is under-specified. The simple optional-param signature keeps this from being a 1, but it still falls short.
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 per the rubric. The schema fields are generic boilerplate ('Input to process', 'Symbol to process', 'Ticker to process'), and the tool description only adds that these likely relate to IPO watchlist/calendar data, modestly aiding interpretation of symbol and ticker. It doesn't clarify which parameter to prefer or what value formats are expected.
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 identifies the topic — an IPO watchlist and calendar — but states no action. 'Ipo Watch:' largely restates the tool name, and the rest is a noun phrase rather than a verb+resource statement. It narrows the domain versus general finance siblings, but doesn't say what the tool actually does with the watchlist or calendar.
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?
No guidance tells an agent when to choose this tool over finance alternatives like x402-market-overview or x402-price-screener. There are no usage contexts, exclusions, or alternative tool names mentioned. An agent can only infer the IPO domain from the name and description.
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.