Skip to main content
Glama
vipankumar87

MCP Multi-Tool Server

by vipankumar87

divide

Perform division operations by dividing one number by another to calculate quotients and solve mathematical problems.

Instructions

Divide the first number by the second number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aYes
bYes

Implementation Reference

  • server.py:88-93 (handler)
    The handler function for the 'divide' tool. It is decorated with @mcp.tool() for registration in the MCP server and implements the division logic with a check to prevent division by zero.
    @mcp.tool()
    def divide(a: float, b: float) -> float:
        """Divide the first number by the second number."""
        if b == 0:
            raise ValueError("Cannot divide by zero")
        return a / b
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't mention important behavioral aspects like error handling (e.g., division by zero), precision of results, or whether it returns integers or floats. This leaves significant gaps for an AI agent.

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 a single, clear sentence with zero wasted words. It's appropriately sized for this simple tool and front-loads the essential information without unnecessary elaboration.

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 tool's low complexity (basic arithmetic) and lack of annotations/output schema, the description is minimally complete. It states the core operation but doesn't address behavioral aspects like error cases or result format. For a simple tool, this might be adequate but has clear gaps.

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?

The schema description coverage is 0%, so the description must compensate. It adds meaning by specifying that parameter 'a' is the 'first number' (dividend) and 'b' is the 'second number' (divisor), which clarifies the order and role beyond the generic schema titles 'A' and 'B'. However, it doesn't explain data types, constraints, or examples.

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 clearly states the verb ('divide') and the resources ('first number', 'second number'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'calculate_percentage' or 'square_root' which might also involve division operations, so it doesn't reach the highest score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'calculate_percentage' (which might handle division with percentage calculations) or 'multiply' (for inverse operations). There's no mention of use cases, prerequisites, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vipankumar87/MCP-Example'

If you have feedback or need assistance with the MCP directory API, please join our Discord server