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generate_latex_derivation

Generate LaTeX documentation for mathematical derivations by providing title, steps, and final result. Outputs a ready-to-use LaTeX string.

Instructions

    Generate LaTeX documentation for a derivation.

    Args:
        title: Derivation title
        steps: List of {"description": str, "latex": str}
        final_result: Final result in LaTeX

    Returns:
        LaTeX document string
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsYes
titleYes
final_resultYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits (e.g., idempotency, auth requirements, side effects). Since annotations are absent, the description carries full burden but provides minimal behavioral context.

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?

Extremely concise: one-line summary followed by parameter listing. Every sentence is necessary, no redundancy, well-structured.

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

Completeness5/5

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

Given the straightforward tool (3 required parameters, no nested objects), the description fully covers what the tool does, inputs, and return value. No gaps for an agent to invoke correctly.

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?

With 0% schema description coverage, the description adds meaning by explaining each parameter: title, steps (list of dicts with description and latex), final_result. This compensates for missing schema documentation.

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

Purpose5/5

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

The description clearly states it generates LaTeX documentation for a derivation, with specific verb and resource. It distinguishes from siblings like 'generate_derivation_report' and 'generate_python_function' by focusing on LaTeX derivation docs.

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 on when to use this tool versus alternatives such as 'generate_derivation_report' or 'generate_sympy_script'. The description omits context for selection.

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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