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parse_recipe_url_bulk

Bulk import recipes by scraping data from multiple URLs and saving them to the Mealie database.

Instructions

Parse Recipe Url Bulk — Recipe: CRUD. Create recipe. [POST /api/recipes/create/url/bulk] Takes in a URL and attempts to scrape data and load it into the database Keywords: parse_recipe_url_bulk, parse recipe url bulk, create recipe, add recipe, new recipe, make recipe, write recipe, recipe, recipes, recipe crud, create, url, bulk, add, new, make, write, post, mealie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.11

TDQS

C2.3/5.0
Behavior2/5

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 say it 'attempts to scrape data and load it into the database', which hints at a network fetch plus a write, but it does not disclose what happens on partial failure across the bulk imports, whether requests are rate-limited, or what is returned. 'Attempts' is a vague hedge.

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

Conciseness2/5

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

The meaningful content is two sentences; the rest is a bloated keyword-stuffed tag list ('parse_recipe_url_bulk, parse recipe url bulk, create recipe, add recipe... mealie') that repeats the name and adds no selection value. Front-loaded endpoint info is good but the keyword dump harms conciseness.

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?

For a write operation with no annotations, no output schema, and 0% schema description coverage, the description is insufficient. It omits the bulk structure, error/partial-failure semantics, prerequisites, and how it differs from the many recipe-create siblings.

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 description coverage is 0%, so the description must compensate, and it does not. It only says 'Takes in a URL', which covers a single URL and does not explain the actual top-level body (a list of import objects, each with url/tags/categories). The bulk batch shape is completely unaddressed in the description text.

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

Purpose3/5

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

The description states a specific verb+resource ('Parse Recipe Url Bulk ... attempts to scrape data and load it into the database'), which is clear enough. However, it does not distinguish itself from the very similar sibling 'parse_recipe_url' (single) or 'test_parse_recipe_url', leaving the agent to infer the bulk vs single distinction from the name alone.

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?

There is no explicit guidance on when to use this tool versus the single-URL sibling parse_recipe_url or test_parse_recipe_url. The keyword list implies a create/import context but never states the condition that selects bulk over single.

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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