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KyleAnthonyMcAdam

TypeScript MCP Server

Simple Calculator

calculator

Evaluate mathematical expressions securely using a TypeScript-based MCP server tool. Input expressions in string format to compute results reliably.

Instructions

A safe calculator that can evaluate mathematical expressions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expressionYesA mathematical expression to evaluate. Example: "2 * (3 + 4)"
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 of behavioral disclosure. It mentions 'safe' but doesn't elaborate on what that entails (e.g., error handling, security, or limitations). This leaves gaps in understanding the tool's behavior, such as how it handles invalid inputs or its operational constraints.

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 directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized, making it easy to understand quickly with zero waste.

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 (one parameter, no annotations, no output schema), the description is minimally adequate. It covers the basic purpose but lacks details on behavior, usage context, or output format, which could be helpful for an AI agent to use it effectively.

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 input schema has 100% description coverage, with the parameter 'expression' documented as 'A mathematical expression to evaluate' and an example provided. The description adds no additional meaning beyond this, so it meets the baseline for adequate but not enhanced parameter semantics.

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 tool's purpose as 'evaluate mathematical expressions' with the verb 'evaluate' and resource 'mathematical expressions', making it specific and understandable. However, since there are no sibling tools mentioned, there's no explicit differentiation from alternatives, preventing a perfect 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, such as other calculation methods or tools. It lacks context about scenarios where it's appropriate, prerequisites, or exclusions, leaving usage unclear beyond the basic purpose.

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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