laplace_transform

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the calculation purpose without mentioning error handling, computational limits, output format, or whether it's a pure function. This leaves significant gaps for a mathematical tool with potential complexity.

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

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

The description is a single, direct sentence with zero wasted words. It efficiently communicates the core purpose without unnecessary elaboration, making it perfectly front-loaded and appropriately sized for this mathematical tool.

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

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

Given the complexity of Laplace transforms and the lack of both annotations and an output schema, the description is insufficient. It doesn't explain what the output looks like, potential limitations, or error conditions, leaving the agent with incomplete information for proper tool invocation.

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

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

The schema description coverage is 100%, with all three parameters clearly documented in the schema itself. The description adds no additional parameter information beyond what the schema provides, so it meets the baseline for high schema coverage without compensating with extra insights.

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

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

The description clearly states the action ('Calculate') and the specific mathematical operation ('Laplace transform of a function'), which is a well-defined concept. It distinguishes itself from siblings like 'fourier_transform' and 'z_transform' by specifying the transform type, though it doesn't explicitly contrast with them in the text.

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

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 like 'fourier_transform' or 'z_transform', nor does it mention prerequisites or typical use cases. It simply states what the tool does without contextual usage information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.