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create_recipe_from_html_or_json

Parses raw HTML or JSON recipe data to create a structured recipe in one step.

Instructions

Create Recipe From Html Or Json [POST /api/recipes/create/html-or-json] Takes in raw HTML or a https://schema.org/Recipe object as a JSON string and parses it like a URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
Behavior2/5

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

With no annotations, the description carries full burden. It mentions input types and parsing but does not disclose error behavior, validation, or side effects. The behavior of fields like url vs data is unclear, and there is no mention of what happens on failure.

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

Conciseness3/5

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

The description is very short but includes a title and endpoint. It is concise but lacks structure and front-loaded key information. Could be improved by separating the purpose from the endpoint and adding brief parameter context.

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

Completeness2/5

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

No output schema, no annotations, and no description of return values, errors, or prerequisites. For a creation tool that parses input, this is insufficient for an agent to understand the complete behavior and expected response.

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

Parameters2/5

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

Schema coverage is 0%, and the description does not explain the nested parameters (url, data, includeTags, includeCategories). Only 'raw HTML or a JSON string' is referenced, leaving the other fields' purpose and semantics unexplained.

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

Purpose4/5

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

The description clearly states it creates a recipe from HTML or JSON, specifying the input types. However, the phrase 'parses it like a URL' is confusing because the tool takes data directly, not a URL. This slightly undermines clarity but overall it identifies the action and resource.

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

Usage Guidelines2/5

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 parse_recipe_url or create_recipe_from_image. The description does not differentiate from siblings or state prerequisites or conditions for use.

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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