x402-age-calculate
Age Calculate: Age Calculate
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dob | No | Dob to process | |
| birthdate | No | Birthdate to process |
Age Calculate: Age Calculate
| Name | Required | Description | Default |
|---|---|---|---|
| dob | No | Dob to process | |
| birthdate | No | Birthdate 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 burden of behavioral disclosure. It reveals nothing about how age is computed, what units are returned, how edge cases like leap years or future dates are handled, or whether dob and birthdate are aliases or have separate meanings.
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, but this is under-specification, not conciseness. It consists of a single meaningless sentence that earns no place; even a blank description would be no less helpful.
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 no meaningful description, an agent has almost no information to invoke this tool correctly. The ambiguity around the two input parameters alone makes the definition inadequate.
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 coverage is 100%, so the baseline is 3, but the description adds no parameter meaning beyond the already-generic schema descriptions. Critically, it does not explain the relationship between dob and birthdate, leaving an agent to guess whether they are redundant, required together, or format-constrained.
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 a pure tautology: "Age Calculate: Age Calculate" simply restates the tool name with no verb, no resource, and no explanation of what the tool computes. An agent cannot determine what this tool does beyond guessing from the name.
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 zero guidance on when to use this tool versus alternatives. The sibling list contains x402-age and many date-related tools, but the description gives no signal about which scenario selects this tool or how it differs from them.
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.