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Arnie936

MCP All-in-One Server

by Arnie936

multiply

Takes two numeric inputs and returns their product. Solves multiplication calculations.

Instructions

Multiply two numbers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aYes
bYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The multiply tool handler function, decorated with @mcp.tool(). Takes two float arguments a and b, returns their product.
    @mcp.tool()
    def multiply(a: float, b: float) -> float:
        """Multiply two numbers"""
        return a * b
  • The multiply tool is registered via the @mcp.tool() decorator on line 191.
    @mcp.tool()
    def multiply(a: float, b: float) -> float:
        """Multiply two numbers"""
        return a * b
Behavior3/5

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

Without annotations, the description carries full burden. It correctly states the operation but lacks disclosure of edge cases like overflow, precision, or handling of special values such as NaN or Infinity. For a simple tool, this is minimally acceptable.

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

Conciseness5/5

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

The description is extremely concise with three words, no filler, and front-loaded information. Every word earns its place.

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?

Given the simplicity (2 required number parameters, no nested objects, output schema present), the description is adequate but not complete. It omits return value details and edge cases, though the output schema exists to partially compensate.

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

Parameters1/5

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

Schema coverage is 0%, but the description adds no meaning beyond the schema's 'a' and 'b' as numbers. It does not explain their roles or relationships, leaving the agent to infer from parameter names alone.

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 explicitly states the verb 'Multiply' and the resource 'two numbers', clearly indicating the tool's purpose. It distinguishes well from sibling tools like add, subtract, and divide.

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?

No guidance is provided on when to use multiply versus the sibling arithmetic tools. The description does not mention best practices, prerequisites, or typical use cases.

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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