x402-lucas-series
Lucas Series: Series of lucas.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| count | No | Count to process |
Lucas Series: Series of lucas.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| count | No | Count to process |
Changes observed during successful MCP inspections.
Input schema / properties / countAdded value: +{
+ "description": "Count to process",
+ "type": "string"
+}Input schema / properties / nAdded value: +{
+ "description": "N to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations and no description of behavior beyond a tautological title. Whether it is a pure generator, needs input, is deterministic, or has limits is entirely undisclosed. With no annotations, the description carries the full burden and discloses nothing.
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?
Extremely short, but brevity here reflects under-specification rather than conciseness. The one sentence that exists restates the name without adding information.
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 2-parameter math-series tool with no annotations, no output schema, and a crowd of ambiguous siblings, the description leaves everything an agent needs unanswered: what a Lucas series is, what n and count distinguish, and how it differs from x402-lucas-number or x402-lucas-index.
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 both 'n' and 'count' are documented in the schema. The description adds no further semantics, but baseline 3 applies when the schema does the heavy lifting, even though 'N to process' and 'Count to process' are themselves vague.
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 'Lucas Series: Series of lucas' is essentially a circular restatement of the tool name. It names no specific operation and distinguishes nothing from siblings like x402-fibonacci-series, x402-prime-series, or x402-lucas-number.
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 on when to use this versus x402-lucas-number, x402-lucas-index, x402-fibonacci-series, or any other series tool. Nothing tells the agent what conditions select this tool.
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.