x402-is-leap-year
Is Leap Year: Is Leap Year
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| year | No | Year to process | |
| input | No | Input to process | |
| value | No | Value to process |
Is Leap Year: Is Leap Year
| Name | Required | Description | Default |
|---|---|---|---|
| year | No | Year to process | |
| input | No | Input to process | |
| value | No | Value to process |
Changes observed during successful MCP inspections.
Input schema / properties / inputAdded value: +{
+ "description": "Input to process",
+ "type": "string"
+}Input schema / properties / valueAdded value: +{
+ "description": "Value to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not the return shape (presumably a boolean), not the accepted year range, not error behavior for malformed input. A one-line tautology gives an agent no behavioral confidence for calling this predicate.
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 its brevity comes from under-specification rather than efficiency: the single clause simply echoes the tool name twice with a colon separator. Every character is redundant, so there is nothing to front-load.
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, three ambiguous optional parameters, and a tautological description, an agent has essentially no information beyond the tool name to determine input format or expected result. This is completely inadequate for even a simple predicate.
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 nominally 100%, which would normally justify a baseline of 3, but the coverage is vacuous: 'Year to process', 'Input to process', and 'Value to process' are boilerplate that fail to distinguish three optional string parameters. It is unclear whether the year belongs in 'year', 'input', or 'value', and the description adds nothing to resolve this ambiguity.
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 Leap Year: Is Leap Year' is a verbatim restatement of the tool name, adding no information an agent didn't already have from the identifier. While the name itself implies a boolean leap-year check, the description does not distinguish this tool from the near-identical sibling x402-is-leap-year-num or from related calendar tools like x402-days-in-year.
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, what input format is expected (a 4-digit year string? a date?), or how it relates to the sibling x402-is-leap-year-num. The agent is left to infer everything from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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