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krumme

mela-mcp

by krumme

get_recipe_widget_data

Fetches full recipe card data for a given recipe ID, including photo data URIs, to power the Mela widget iframe without exposing data to the model.

Instructions

App-only data feed for the Mela recipe card. The widget iframe calls this itself (Krea's get_job pattern) via a host-relayed tools/call after Claude Desktop strips structuredContent from the pushed tool-result. Never surfaced to the model, so the base64 photo data URIs stay out of model context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recipe_idYes
Behavior2/5

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

With no annotations, the description must disclose behavior. It mentions that base64 photo data URIs stay out of model context and describes a call pattern, but does not clarify whether this is a read-only operation, what side effects exist, or what the output structure is. The information provided is more about internal plumbing than tool behavior.

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 a single run-on sentence filled with jargon (e.g., 'Krea's get_job pattern', 'host-relayed tools/call') without being front-loaded with the core purpose. It is not concise or well-organized for an agent to quickly understand the tool.

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?

Despite having only one parameter and no output schema, the description fails to explain what data the tool returns, what the recipe_id refers to, or how the tool fits into the agent's workflow. It is written for developers maintaining the system, not for an AI agent selecting and invoking the tool.

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 does not explain the recipe_id parameter at all. The parameter only has a type and title, so the agent has no idea what value to pass or how it relates to the tool's function.

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

Purpose2/5

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

The description mentions 'app-only data feed for the Mela recipe card' but lacks a clear verb+resource structure. It doesn't state what the tool actually returns or does in a way an agent can act on. It does not distinguish itself from siblings like get_recipe or search_recipes beyond saying it is app-only.

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

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says the widget iframe calls the tool itself and it is 'never surfaced to the model,' implying the agent should not use it. No alternatives or conditions are provided. This gives no actionable guidance for when an agent should invoke this tool.

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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