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calculate_math_expression

Calculate mathematical expressions safely to perform arithmetic operations, evaluate formulas, and compute results from user-provided input strings.

Instructions

Calculate a mathematical expression safely

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expressionYesMathematical expression to evaluate (e.g., "2 + 2", "(10 + 5) * 3 / 2", "sqrt(16)")
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Safely' hints at error handling but doesn't specify what safety means (e.g., sandboxed evaluation, input validation, error types). No information about performance, rate limits, or output format is provided.

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 with zero wasted words. It's appropriately sized for a simple tool and gets straight to the point without unnecessary elaboration.

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?

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what mathematical operations are supported, how errors are handled, what the return format looks like, or any limitations. The 'safely' hint is too vague to provide meaningful context.

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?

Schema description coverage is 100%, so the schema already documents the single 'expression' parameter with examples. The description adds no additional parameter semantics beyond what's in the schema, maintaining the baseline score of 3 for high schema coverage.

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 with a specific verb ('calculate') and resource ('mathematical expression'), and the 'safely' qualifier adds useful context. However, it doesn't distinguish this tool from potential mathematical siblings (though none exist in the provided sibling list).

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. While there are no obvious mathematical siblings in the list, there's no mention of what types of mathematical expressions are supported, limitations, or when other tools might be more appropriate.

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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