x402-annuity-pv
Annuity Pv: Annuity Pv
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Annuity Pv: Annuity Pv
| 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. It discloses nothing—not that the tool computes a present value, not what inputs it consumes, not whether it is read-only or mutates state. The description is completely empty of behavioral information.
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 text is short, but this is under-specification rather than conciseness. Repeating the tool name in a title-like format adds no information and does not adequately describe the tool. There is no front-loaded content or structured explanation.
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 output schema, no annotations, and an empty parameter schema, the description is the only source of context. It is essentially a placeholder. An agent cannot determine what the tool does, what inputs it needs, what output it returns, or when to use it. This is completely inadequate for a financial calculation tool.
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 schema has zero parameters, so there is no schema-level information to rely on. With 0 parameters the baseline is 4, but the description still must provide some hint about how the tool is invoked or what a present-value calculation requires. It provides none, leaving an agent with no idea whether parameters are expected or how they would be supplied.
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 'Annuity Pv: Annuity Pv' is a pure tautology—it restates the tool name without adding any verb, resource, or function. It does not say that the tool calculates the present value of an annuity, nor does it distinguish it from siblings like x402-annuity-fv or x402-present-value.
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 or when to prefer an alternative. The description contains no context about financial calculations, input requirements, or relationships to sibling tools. An agent receives zero direction for tool selection.
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.