calc_tip
Calculate tip amount and total bill, with optional split among diners.
Instructions
Calculate tip amount and total for a bill.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bill | Yes | ||
| tip_percent | No | ||
| split | No |
Calculate tip amount and total bill, with optional split among diners.
Calculate tip amount and total for a bill.
| Name | Required | Description | Default |
|---|---|---|---|
| bill | Yes | ||
| tip_percent | No | ||
| split | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral burden. It only states the basic function (calculate tip and total) but omits important details like rounding behavior, handling of missing optional parameters (e.g., split), or whether the total is per person or overall. This is insufficient for safe invocation.
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, front-loaded sentence with no fluff. It efficiently conveys the core purpose. However, it could be slightly expanded with parameter hints without losing conciseness.
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 tool's simplicity (3 params, no output schema, no annotations), the description should at minimum clarify the parameters and return value. It fails to do so, leaving the agent guessing about expected inputs and outputs. The description is not complete enough for reliable use.
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 has 0% description coverage, and the tool description provides no information about parameters. The agent does not learn what 'bill', 'tip_percent', or 'split' represent, their formats, or constraints. This is a critical gap for correct usage.
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 tool's purpose: 'Calculate tip amount and total for a bill.' It uses a specific verb+resource, making it immediately understandable. Among sibling tools like calc_bmi or calc_compound_interest, this one is distinct in its function.
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?
No usage guidelines are provided. The description does not specify when to use this tool vs. alternatives, nor does it mention any prerequisites or exclusions. The agent receives no context for decision-making.
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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