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111-test-111

Math MCP Server

by 111-test-111

unit_converter

Convert any numerical value from one physical unit to another, supporting length, weight, temperature, area, volume, time, speed, and energy.

Instructions

Brief description: Physical unit conversion tool, supporting length, weight, temperature, etc., unit conversions.
Examples:
    unit_converter(value=100, from_unit='cm', to_unit='m', unit_type='length')
    unit_converter(value=32, from_unit='fahrenheit', to_unit='celsius', unit_type='temperature')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYesThe numerical value to convert
from_unitYesSource unit
to_unitYesTarget unit
unit_typeYesUnit type. Supports: 'length', 'weight', 'temperature', 'area', 'volume', 'time', 'speed', 'energy'
Behavior2/5

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

No annotations are provided, and the description does not disclose limitations, accuracy, supported conversion types beyond a few examples, or any special behavior. It relies heavily on the schema for detail.

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 concise, including a brief purpose and two examples. It is well-structured and front-loaded with the key information.

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 simple tool with no nested objects or output schema, the description covers the basics but omits some detail (e.g., incomplete list of unit types in the description). It is adequate but could be improved.

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

Parameters4/5

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

Schema provides full parameter descriptions (100% coverage). The description adds value with concrete examples showing how to invoke the tool, which aids understanding beyond schema 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 clearly states it's a physical unit conversion tool supporting length, weight, temperature, etc., with examples. This distinguishes it from sibling tools 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?

Usage is implied through examples and the brief description, but there is no explicit guidance on when to use this tool versus alternatives, nor any exclusion criteria.

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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