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111-test-111

Math MCP Server

by 111-test-111

number_theory_calculator

Perform number theory calculations including prime factorization, primality testing, modular arithmetic, and Fibonacci sequence generation.

Instructions

Brief description: Advanced number theory calculation tool, supporting prime testing, factorization, modular arithmetic, etc.
Examples:
    number_theory_calculator(operation='prime_factorization', number=60)
    number_theory_calculator(operation='prime_test', number=97)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationYesNumber theory operation. Supports: 'prime_factorization', 'prime_test', 'generate_primes', 'modular_arithmetic', 'extended_gcd', 'euler_totient', 'fibonacci'
numberNoPrimary operand, must be a positive integer
numbersNoList of numbers for operations requiring multiple numbers
modulusNoModulus for modular arithmetic, must be positive
baseNoBase for modular exponentiation
exponentNoExponent for modular exponentiation, must be non-negative
limitNoLimit value for prime generation or fibonacci sequence
precisionNoNumber of terms for continued fraction expansion
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the tool is 'advanced' and lists operations but discloses no behavioral traits (e.g., performance limits, side effects, error handling, return format).

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?

The description is very concise (one sentence plus two examples) but lacks structure like bullet points or sections. However, it is efficient and front-loaded with the purpose.

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

Completeness2/5

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

Given the tool has 8 parameters (though only one required), no output schema, and many siblings, the description is incomplete. It doesn't explain parameter combinations, return values, or limitations for complex operations.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description adds no parameter meaning beyond the schema; examples show usage but do not explain optional parameters or their interplay.

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

Purpose5/5

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

The description clearly states 'Advanced number theory calculation tool' and lists specific operations like prime testing, factorization, modular arithmetic, etc. Examples further clarify the intended usage, and the tool is well-distinguished from siblings like basic_arithmetic or calculus_engine.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for number theory computations but provides no explicit guidance on when to choose this tool over siblings (e.g., 'use this for number theory problems'). No exclusions or comparisons are given.

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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