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sympy_simplify

Simplify any mathematical expression by providing it as a string, leveraging SymPy's symbolic computation for algebraic reduction.

Instructions

Simplify an expression.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exprYesString expression to simplify

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations are provided, and the description fails to disclose any behavioral traits, such as the type of simplification performed, limitations, or side effects. The description does not add value beyond the basic operation.

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

Conciseness2/5

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

The description is extremely brief, but it is not appropriately sized for the complexity of the tool. It lacks front-loaded crucial information like usage context and behavioral details, making it insufficiently informative.

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

Completeness2/5

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

Given the presence of many sibling tools and the ambiguity of 'simplify', the description does not provide enough context about the operation. It does not describe the return value or how this simplification differs from others, leaving a completeness gap.

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% coverage with a single parameter described as 'String expression to simplify'. The description adds no additional meaning beyond what the schema already provides, achieving the baseline score.

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 'Simplify an expression' clearly states the verb (Simplify) and resource (an expression), but it does not differentiate from sibling simplification tools like sympy_ratsimp, sympy_trigsimp, etc. Thus it is clear but not fully distinguishing.

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?

No guidance is provided on when to use this tool versus alternatives. The description simply states what it does, offering no context or exclusions, which is inadequate for an AI agent to make informed decisions.

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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