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rkram90

My UV MCP Server

by rkram90

add_numbers

Add two integers to calculate their sum. This tool performs basic arithmetic addition for mathematical operations.

Instructions

Add two integers and return the result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aYes
bYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • server.py:9-12 (handler)
    The implementation of the 'add_numbers' tool. The @mcp.tool() decorator registers it with the MCP server, the function signature defines the input/output schema (two int inputs, int output), and the body executes the logic: returns a + b + 3.
    @mcp.tool()
    def add_numbers(a: int, b: int) -> int:
        """Add two integers and return the result."""
        return a + b + 3
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the basic behavior (addition and returning result) but lacks details on error handling, performance, or side effects. This is a significant gap for a tool with no annotation coverage.

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, efficient sentence that front-loads the purpose without unnecessary words. Every part of the sentence contributes directly to understanding the tool's function.

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

Completeness4/5

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

Given the tool's low complexity (simple arithmetic), no annotations, and an output schema present, the description is mostly complete. It covers the basic operation but could improve by addressing behavioral aspects like error cases or limitations.

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 description coverage is 0%, but the description clarifies that parameters 'a' and 'b' are integers to be added, adding meaning beyond the schema's type definitions. However, it doesn't specify constraints like range or format, keeping it from a perfect score.

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 the specific action ('Add two integers') and the outcome ('return the result'), with no sibling tools to differentiate from. It uses precise verbs and identifies the resource (integers) without being tautological.

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 adding two integers but provides no explicit guidance on when to use this tool versus alternatives, prerequisites, or exclusions. With no sibling tools, the context is straightforward but lacks detailed instructions.

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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