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sachin-philip

Raindrop.io MCP Server

search_bookmarks

Search bookmarks by keyword with optional date range and collection filters.

Instructions

Search for bookmarks by keyword/text in Raindrop.io with optional date range filtering

Args:
    query: The search term to look for in bookmarks (required)
    collection_id: ID of the collection to search in (default: 0 for all collections)
    count: Maximum number of bookmarks to return (default: 10)
    from_date: Start date in YYYY-MM-DD format (optional)
    to_date: End date in YYYY-MM-DD format (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
collection_idNo
countNo
from_dateNo
to_dateNo
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions defaults for collection_id and count and date format, but does not cover pagination, ordering, or behavior when no results are found.

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

Conciseness3/5

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

The description is structured with an Args block but is somewhat verbose. It could be more concise while retaining clarity.

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?

No output schema is provided, and the description does not hint at the return format (e.g., list of bookmark objects). Missing information about ordering or result structure makes it incomplete for a search tool.

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

Parameters4/5

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

Schema description coverage is 0%, so the description adds significant value by explaining each parameter's purpose, defaults, and date format. It compensates well for the lacking schema descriptions.

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 tool searches for bookmarks by keyword/text with optional date range filtering. It specifies the resource (bookmarks) and action (search), distinguishing it from siblings like search_by_tag which searches by tag.

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

Usage Guidelines3/5

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

The description implies usage for keyword/text search but does not explicitly state when to use this tool versus alternatives like search_by_tag or add_bookmark. No when-not or exclusions are provided.

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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