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Better Mealie MCP

Create Recipes Test Scrape Url

create_recipes_test_scrape_url

Test a recipe URL to verify parsing and extraction of recipe data. Provide a URL to check if Mealie can scrape and parse it successfully, helping troubleshoot recipe imports.

Instructions

Test Parse Recipe Url

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
useOpenAINo
accept-languageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.20.1

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are present, so the description must carry the burden of behavioral disclosure. 'Test Parse Recipe Url' hints at a non-persistent testing action, but it does not state whether the tool makes network requests, creates or mutates data, requires authentication, or what happens on success or failure. This is a significant transparency gap for an unannotated tool.

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 description is only a short noun-phrase fragment, not a structured sentence. While it is not verbose, it is under-specified to the point of being unhelpful. This is more under-specification than genuine conciseness.

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

Completeness1/5

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

With three parameters, 0% schema coverage, no annotations, and no output schema, the description needed to provide substantial context. It does not explain return values, side effects, parameter semantics, or any success/failure behavior. An agent lacks the information needed to invoke this tool correctly and interpret its results.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no parameter-level guidance. The word 'Url' loosely maps to the required 'url' parameter, but 'useOpenAI' and 'accept-language' are completely unexplained. Since the schema provides no descriptions, the description was required to compensate and fails to do so.

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 'Test Parse Recipe Url' clearly identifies a specific action: testing/parsing a recipe URL. It uses a verb-like 'Test Parse' and a concrete resource, so an agent can tell this is about evaluating a URL rather than, for example, creating a recipe. However, it does not explicitly distinguish itself from sibling tools like create_recipes_create_url or create_recipes_create_url_stream, so it falls short of a 5.

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?

The description gives no guidance about when to use this tool versus the many sibling tools with similar URL-parsing or recipe-creation purposes. There is no mention of alternatives, exclusion conditions, or prerequisites. An agent is left to infer usage context from the name alone.

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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