parse_ingredient
Parse unstructured ingredient text into structured data using parser options like NLP, brute force, or OpenAI.
Instructions
Parse Ingredient [POST /api/parser/ingredient]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes |
Parse unstructured ingredient text into structured data using parser options like NLP, brute force, or OpenAI.
Parse Ingredient [POST /api/parser/ingredient]
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description fails to disclose any behavioral traits such as side effects, permissions, rate limits, or return behavior. The agent receives no information about what happens when the tool is invoked.
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 extremely short but not concise in a helpful way; it omits critical information. It is not front-loaded with actionable content, and the two lines provide no substantive value.
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 lack of output schema and annotations, the description should compensate with details about return values and behavior. It does not, leaving the agent with no understanding of the tool's full functionality.
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 description does not explain the 'body' parameter, its nested properties ('ingredient', 'parser'), or the meaning of the parser enum values. The agent gets no guidance on how to construct valid input.
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 essentially restates the tool name ('Parse Ingredient') with the endpoint. It does not add meaningful detail about what parsing entails or how it differs from the sibling 'parse_ingredients' (plural). This is a tautology.
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?
There is no guidance on when to use this tool versus alternatives like 'parse_ingredients' or other parsing tools. No context on prerequisites or typical use cases is provided.
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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