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SHSharkar

MCP Mathematics

Natural Language Conversion

convert_natural_language

Converts natural language queries into mathematical results. Use plain English to perform unit conversions, financial calculations, and more.

Instructions

Natural language conversion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language conversion request

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations, the description must convey behavioral traits, but it provides none. There is no mention of side effects, performance, or any behavior beyond the tautology.

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

Conciseness1/5

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

At only 3 words, the description is under-specified, not concise. It lacks structure and fails to provide any substantive information.

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?

Despite having an output schema, the description does not compensate for the lack of purpose, usage, or behavioral context. It is wholly inadequate for a tool with one parameter and many siblings.

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

Parameters2/5

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

Although schema coverage is 100%, the parameter description 'Natural language conversion request' adds no meaning beyond the field name. The description is redundant and uninformative.

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

Purpose1/5

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

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus sibling tools like convert_units or calculate_expression. The description lacks any context for appropriate use.

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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