milliliters_to_cups
Convert milliliters to US cups.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| milliliters | Yes | Volume in milliliters |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cups_us | Yes | ||
| milliliters | Yes |
Convert milliliters to US cups.
| Name | Required | Description | Default |
|---|---|---|---|
| milliliters | Yes | Volume in milliliters |
| Name | Required | Description | Default |
|---|---|---|---|
| cups_us | Yes | ||
| milliliters | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It states the conversion but does not mention precision, rounding, or handling of edge cases like negative inputs. Adequate for a simple conversion but could be more transparent.
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?
Extremely concise single sentence that communicates the function without any wasted words. Perfectly structured for immediate understanding.
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?
For a simple conversion tool with an output schema (not shown), the description is largely sufficient. It covers the core functionality, but could mention the output unit for completeness.
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?
Schema coverage is 100% for the single parameter 'milliliters' with description 'Volume in milliliters'. The description adds no additional meaning beyond the schema, so baseline 3 is appropriate.
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?
Description clearly states the conversion from milliliters to US cups. It implicitly distinguishes from the sibling tool 'cups_to_milliliters', but does not explicitly differentiate from other conversions.
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 guidance on when to use this tool versus alternatives like 'cups_to_milliliters' or other unit converters. The description is purely functional without context.
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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