baking_pan_conversion_calculatorBaking Pan Size Conversion Calculator — Convert a recipe between round, square, and rectangular baking pans. Scale batter by pan area, not diameter, to see the exact ratio and bake-time guidance.
| Name | Required | Description | Default |
|---|---|---|---|
| target | Yes | ||
| original | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose that output includes 'exact ratio and bake-time guidance' and warns against scaling by diameter, which is useful. However, it fails to mention any assumptions, limits, or edge cases (e.g., what happens if incompatible dimensions are given), leaving moderate gaps.
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 short and mostly front-loaded, but it begins by repeating the tool title ('Baking Pan Size Conversion Calculator —'), which is redundant. The second sentence adds high-value content. Overall, it is concise with minimal verbosity, though the title repetition could be trimmed.
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 complex nested schema, lack of output schema, and no annotations, the description is incomplete. It does not specify how to structure inputs for each shape, which dimension fields are required, or what the exact output format is. Mentioning 'ratio and bake-time guidance' is vague, leaving significant ambiguity for an agent.
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 description coverage is 0% and the parameters are nested objects with multiple fields. The description never explicitly explains 'original' and 'target', nor does it map shape types to required dimension fields (e.g., round needs diameter, square needs side, rectangular needs length/width). Thus it does not compensate for the absence of schema-level descriptions.
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 explicitly states 'Convert a recipe between round, square, and rectangular baking pans' with a specific verb and resource. It also notes the key methodological distinction ('by pan area, not diameter') and the output ('exact ratio and bake-time guidance'), which differentiates it from sibling calculators like recipe_scaler_calculator.
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 clearly implies when to use the tool: when converting between different baking pan shapes. It provides guidance on scaling approach (area vs diameter). However, it does not explicitly state when not to use it or name alternative tools, so it misses the highest bar.
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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