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111-test-111

Math MCP Server

by 111-test-111

calculus_engine

Compute derivatives, integrals, limits, series, and differential equations for mathematical expressions.

Instructions

Brief description: Advanced calculus computation engine, supporting derivatives, integrals, limits, series, and differential equations.
Examples:
    calculus_engine(expression='x**2 + 3*x + 1', operation='derivative', variable='x')
    calculus_engine(expression='sin(x)', operation='integral', variable='x', limits=[0, 3.14159])

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expressionYesMathematical expression to analyze
operationYesCalculus operation type. Supports: 'derivative', 'integral', 'limit', 'series', 'differential_equation', 'optimization', 'taylor_series', 'fourier_series'
variableNoVariable symbolx
variablesNoList of variables for multivariate functions
limitsNoIntegration limits or limit calculation bounds
pointNoPoint for derivative or limit evaluation
pointsNoMultiple points for evaluation
orderNoOrder of derivative or series terms
methodNoCalculation method. Supports: 'quad', 'dblquad', 'symbolic', 'numerical'quad
modeNoCalculation mode. Supports: 'symbolic', 'numerical'symbolic
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 does not mention side effects (none expected), authentication needs, rate limits, or error behavior. The description only offers a high-level definition and examples, which is insufficient for a tool with 10 parameters.

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 extremely brief—two sentences and two examples—which is concise and front-loaded. However, it could be better structured by separating the brief description from examples, and by including a bullet list of operations.

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 10 parameters, no output schema, and no annotations, the description covers only the basics. The examples address only a few operations and parameter combinations. Missing key details like how to specify methods, modes, or handle errors, but it provides enough to start using the tool for common cases.

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 100%, providing detailed parameter descriptions. The description adds value by showing example parameter combinations (expression, operation, variable, limits) that clarify typical usage. However, it does not explain more complex parameters like method or mode.

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 it is an advanced calculus computation engine supporting derivatives, integrals, limits, series, and differential equations. Examples further illustrate typical use cases. However, it does not explicitly differentiate from sibling tools like complex_analysis_suite or optimization_suite, relying on the listed operations to imply scope.

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?

Examples demonstrate basic usage but there is no explicit guidance on when to use this tool versus alternatives (e.g., when to use complex_analysis_suite instead). No prerequisites or contraindications are mentioned, leaving the agent to infer from context.

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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