Create Recipes

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only states that data is loaded as a new entry, which is already implied by the tool name. It does not mention validation behavior, duplicate handling, required permissions, side effects, or response behavior beyond what the existence of an output schema might imply.

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 concise sentence with no filler. It front-loads the input mechanism and the essential persistence behavior. It could have been slightly more useful by naming the resource explicitly, but it is not bloated or poorly structured.

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 absence of annotations, 0% schema description coverage, and many closely related sibling tools, this description is too thin to fully equip an AI agent. It establishes the basic create-from-JSON intent but omits parameter semantics, usage differentiation, and behavioral expectations, making correct tool selection and invocation uncertain.

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%, so the description must compensate for the schema's silence. It does not explain the relationship between the JSON string and the `name` or `accept-language` parameters, nor does it describe required fields, formatting, or examples. The phrase 'JSON string' even conflicts with the schema's object-like properties structure, leaving an agent to guess how parameters are passed.

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 states a specific action: it takes a JSON string and loads it as a new database entry. Combined with the tool name, it is clear enough that this creates a recipe from JSON input. However, it does not explicitly differentiate itself from sibling tools like create_recipes_create_html_or_json or create_recipes_create_url, which also create recipes through different input modes.

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 alternative create_recipes_* siblings. The description only explains the mechanism (JSON string input), not the intended use case, when to prefer it, or when to choose another endpoint. With a large sibling list full of similarly named create recipes tools, this is a significant gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.