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felix-windsor

Obsidian Lumina MCP

search_notes

Find relevant Obsidian notes by semantic meaning using vector similarity search. Enter a query to retrieve the most related notes.

Instructions

Search Obsidian notes using vector similarity search

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query to find relevant notes
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. It only mentions 'vector similarity search', giving a hint about the algorithm, but does not explain what the tool returns, whether it requires special access, or how results are ordered. This is a significant gap for a search operation.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no wasted words. It delivers the essential purpose and method efficiently.

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?

The tool has no output schema, so the description should explain what the search returns (e.g., list of note titles, snippets, relevance scores). It does not. The description is minimally complete for a search intent but lacks critical context about outputs and behavioral specifics.

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

Parameters3/5

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

The input schema already provides 100% coverage for the single 'query' parameter with a clear description. The tool description adds no additional parameter semantics beyond the schema, so the baseline score of 3 is appropriate.

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's purpose with a specific verb ('Search'), a resource ('Obsidian notes'), and a method ('vector similarity search'). Although there are no sibling tools to differentiate from, the description is unambiguous and self-contained.

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 context (when you want to find relevant notes via semantic similarity) but provides no explicit when-to-use guidance or alternatives. Since no sibling tools exist, this is adequate but could be more explicit about prerequisites or limitations.

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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