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IBM

MCP Math Server

by IBM

diophantine_analysis

Analyze Diophantine equations to determine solvability, find integer solutions, and provide mathematical insights for arithmetic problems.

Instructions

Analyze a Diophantine equation and provide general information. (Domain: arithmetic, Category: diophantine_equations)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
equation_typeYes
kwargsYes
Behavior1/5

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. The description only states it will 'provide general information' without specifying what that means - whether it returns solution methods, existence proofs, historical context, or mathematical properties. It doesn't mention any behavioral traits like computational complexity, limitations, or what format the information comes in. For a mathematical analysis tool with no annotations, this is completely inadequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (one sentence plus domain/category tags), but this conciseness comes at the cost of being under-specified. The domain/category tags add some structure but don't provide meaningful operational guidance. While it's not verbose, it's also not sufficiently informative for the tool's complexity.

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

Completeness1/5

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

This is a mathematical analysis tool with 2 undocumented parameters, no annotations, no output schema, and multiple sibling tools in the same domain. The description is completely inadequate - it doesn't explain what the tool actually does, what parameters it needs, what behavior to expect, or how it differs from related tools. Given the complexity of Diophantine analysis and the complete lack of structured documentation, the description fails to provide necessary context.

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

Parameters1/5

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

The schema has 0% description coverage, so both parameters (equation_type and kwargs) are completely undocumented in the schema. The description provides no information about what these parameters mean, what values equation_type accepts, what kwargs should contain, or how they affect the analysis. With 2 undocumented parameters and 0% schema coverage, the description fails to compensate by explaining parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Analyze a Diophantine equation and provide general information' which is a tautology - it essentially restates the tool name 'diophantine_analysis' as 'analyze a Diophantine equation'. While it adds 'provide general information', this is vague and doesn't specify what kind of analysis or information is provided. It doesn't distinguish this tool from sibling tools like 'count_solutions_diophantine', 'solve_linear_diophantine', or 'parametric_solutions_diophantine'.

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. There are multiple sibling tools related to Diophantine equations (count_solutions_diophantine, solve_linear_diophantine, parametric_solutions_diophantine, solve_quadratic_diophantine, etc.), but the description doesn't explain what makes this 'analysis' tool different from those solution-focused tools. The domain/category tags are too broad to provide meaningful usage guidance.

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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