x402-price-to-cash-flow
Price To Cash Flow: Convert price to cash flow.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Price To Cash Flow: Convert price to cash flow.
| 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 fails to do so. It doesn't state what data the tool relies on (market prices, cash-flow figures), whether it is a stateless computation or a live data lookup, what the output format is, or any failure modes. The verb 'convert' weakly implies a calculation, but nothing beyond that is disclosed.
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 short with no wasted words, but this is under-specification rather than genuine conciseness. It repeats the title in the description text ('Price To Cash Flow:') and then restates the name in sentence form, contributing no information beyond the identifier itself.
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 an empty input schema, the description is the only source of information, and it is completely inadequate. For a valuation-ratio tool among thousands of siblings, the agent needs at least the input requirements, the meaning of the conversion, and expected output; none of these are provided.
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 has zero parameters, and with 0 params the baseline is 4 since there are no parameter semantics to document. However, the description does not explain how the agent is expected to convey the price and cash-flow inputs (e.g., via natural language), which is notable given the schema is empty.
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 'Convert price to cash flow' essentially restates the tool name 'x402-price-to-cash-flow' without adding any clarifying detail about what the operation means (e.g., computing the P/CF valuation ratio). It does not distinguish this tool from closely related siblings like x402-price-to-earnings, x402-price-to-book, or x402-price-to-sales, all of which would be candidate choices for the same task.
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 on when to use this tool versus the many similar financial ratio and cash-flow siblings in the list. The description provides no context, prerequisites, or exclusion criteria, leaving the agent to guess whether this tool is appropriate for a given request.
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.