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x402-is-perfect-num

Is Perfect Num: Checks whether value exceeds one and equals the sum of its proper divisors 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
valueNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / value / description
      Removed value: -"Value to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / value
      Added value: +{
      +  "description": "Value to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full behavioral burden. It does surface useful non-schema context (free trial count, wallet signing requirement), but it never states the return shape (boolean vs. object), the handling of large or non-numeric strings, or any error behavior. That leaves a mutation-free predicate tool under-specified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the actual test, plus a short promo clause. The 'Is Perfect Num:' prefix largely restates the tool name and the emoji trial badge is noise, but overall it is tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter predicate with no output schema and no annotations, the description explains the semantics but omits the return value and the string-vs-number input contract. It is minimally sufficient to know what the tool computes, but not enough to invoke it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter 'value' is typed as a string with no format hints. The description implies a numeric input ('exceeds one', 'proper divisors') but does not reconcile that with the string type or explain accepted formats, so it adds only a weak hint over the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a concrete verb plus the full mathematical predicate ('Checks whether value exceeds one and equals the sum of its proper divisors'), which is more precise than the name alone. However, it never distinguishes itself from the three near-identical siblings (x402-is-perfect, x402-is-perfect-number, x402-perfect-numbers), so an agent has no basis for picking this one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 the alternative perfect-number tools, and no stated condition under which this should be preferred. The only contextual remark is a promotional free-trial note, which does not help tool selection.

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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