x402-is-perfect-number
Is Perfect Number: Is Perfect Number
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
Is Perfect Number: Is Perfect Number
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
Changes observed during successful MCP inspections.
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 accepted input form (the schema types it as a string), not whether the result is a boolean, and not any limits on magnitude. With zero annotation coverage and zero descriptive content, this is fully opaque.
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 sentence is short but wasted: it duplicates the same phrase twice around a colon, adding no structure, no front-loaded intent, and no useful detail. Brevity here reflects under-specification rather than efficiency.
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 numeric predicate with no annotations and no output schema, the description should at minimum state the input domain and result type. It supplies neither, leaving an agent unable to know what to pass or what to expect back.
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?
There is a single parameter and schema description coverage is 100%, so per the baseline rule a 3 applies even though the description says nothing about 'value'. Note the schema's own description ('Value to process') is generic and does not clarify that a number written as a string is expected, but the description cannot be credited for that gap.
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 merely repeats the tool name/title ('Is Perfect Number: Is Perfect Number') with no verb-object expansion or explanation of what a perfect number is. It signals a predicate over numbers but adds no information beyond the identifier itself. It also gives no differentiation from the many sibling predicates (x402-is-perfect, x402-is-perfect-num, x402-perfect-numbers).
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 when-to-use guidance, no mention of alternatives such as x402-is-perfect-num or x402-perfect-numbers, and no statement of expected input domain. An agent must infer usage entirely from the tool name.
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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