x402-is-twin-prime
Is Twin Prime: Is Twin Prime
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
Is Twin Prime: Is Twin Prime
| 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 supplied, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not say what the return value is, whether the input must be an integer/prime, how non-numeric or negative input is handled, or what counts as a twin-prime test (n and n+2 both prime, or n part of a twin pair).
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 text is short but earns none of its length: 'Is Twin Prime: Is Twin Prime' is a name echoed twice rather than a front-loaded explanation. Brevity here reflects under-specification rather than economical writing.
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 a tautological description, an agent has no basis for deciding when to call this versus the sibling primality predicates or for predicting the response shape. For a predicate tool in a family of hundreds of similar checks, this is entirely 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?
There is one parameter named 'value' whose schema description is the generic 'Value to process', and the tool description adds nothing on top of it. Coverage is nominally 100% but neither layer explains that the value must be an integer to be tested for twin-primality, so the semantics remain ambiguous despite the high nominal coverage.
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 the title restated twice: 'Is Twin Prime: Is Twin Prime.' It conveys only that some predicate about twin primes is evaluated, with no verb, no statement of what input is checked, and no differentiation from the many sibling predicates (x402-is-prime, x402-is-prime-pair, x402-is-twin-prime-pair). This is tautology, not a statement of purpose.
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, when-not-to-use, or alternative routing information. An agent must infer from the name alone that this is a boolean predicate and guess how it differs from x402-is-twin-prime-pair, which appears to cover a closely related concept. No guidance is provided in either direction.
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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