x402-holding-period-return
Holding Period Return: Holding Period Return
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Holding Period Return: Holding Period Return
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of disclosing behavior. It discloses nothing: no formula, no inputs (the schema is empty — how the tool obtains data is unexplained), no return format, no edge cases. This is equivalent to the LOW calibration example in behavioral value.
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?
Five words with zero informational value is under-specification, not conciseness. The tautological structure wastes its only sentence repeating the tool name instead of earning its place with useful content.
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 financial metric tool with no annotations and no output schema, the description must explain what the tool computes, how it behaves with zero declared parameters, and what it returns. It does none of this. An agent could not confidently invoke or interpret the result from this definition.
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 is empty (0 parameters), so there are no parameter semantics to document. The schema trivially covers 100% of parameters, and with 0 params the baseline is 4. No penalty applies since there is nothing the description could add about parameters.
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 'Holding Period Return: Holding Period Return' is a literal restatement of the tool name — a tautology. It provides no verb, resource, or scope beyond what the name already communicates. An agent can only infer the financial domain from the name itself, not from the description.
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 is given on when to use this tool versus the many sibling finance tools (annualized-return, cagr, returns, log-returns, roi, etc.). The description offers zero routing information to help an agent select among alternatives.
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.