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ddltn

Raindrop MCP Server

by ddltn

create_collection

Create a new collection in Raindrop.io to organize bookmarks by specifying title, view type, privacy settings, and optional parent collection.

Instructions

Create a new collection in Raindrop.io

Args:
    title: Name of the collection
    view: View type (list, grid, masonry, simple)
    public: Whether the collection is public
    parent_id: ID of parent collection (omit for root collection)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
viewNolist
publicNo
parent_idNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Create' implies a write/mutation operation, the description doesn't mention authentication requirements, rate limits, whether the operation is idempotent, what happens on failure, or what the response looks like. This leaves significant behavioral gaps for a mutation tool.

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

Conciseness4/5

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

The description is efficiently structured with a clear purpose statement followed by parameter explanations. Every sentence serves a purpose, though the formatting with 'Args:' could be slightly more polished. It's appropriately sized for a 4-parameter tool with no annotations.

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

Completeness3/5

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

Given that this is a mutation tool with no annotations and no output schema, the description provides adequate basic information about what the tool does and what parameters mean. However, it lacks important contextual details about authentication, error handling, and what the tool returns, which would be needed for complete understanding.

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

Parameters5/5

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

The schema description coverage is 0%, so the description must fully compensate. It provides clear semantic explanations for all 4 parameters: what 'title' represents, the meaning of 'view' with its possible values, what 'public' controls, and how 'parent_id' affects collection hierarchy. This adds substantial value beyond the bare schema.

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

Purpose5/5

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

The description clearly states the specific action ('Create a new collection') and resource ('in Raindrop.io'), distinguishing it from sibling tools like delete_collection or update_collection. It provides a complete verb+resource combination that leaves no ambiguity about what this tool does.

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 provides no guidance on when to use this tool versus alternatives like update_collection or get_root_collections. There's no mention of prerequisites, permissions needed, or contextual factors that would help an agent decide when this is the appropriate tool to invoke.

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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