Skip to main content
Glama
seanwinslow28

Vault Knowledge MCP Server

Search Concepts

search_concepts

Search vault concept articles with natural-language queries to find semantically relevant results, including titles, excerpts, and similarity scores.

Instructions

Semantically search the vault's concept, connection, and Q&A articles for a natural-language query. Returns ranked {slug, title, similarity_score, excerpt, last_modified}. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default 5).
queryYesNatural-language query to search concept articles for.
Behavior3/5

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

No annotations provided; description supplies 'Read-only' trait and output structure. Lacks details on rate limits, auth, or side effects beyond that.

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?

Two concise sentences with no wasted words. Front-loaded with primary action, followed by return format details.

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

Completeness4/5

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

Given the tool's simplicity (2 params, no output schema), the description covers input type, output fields, and read-only nature. Lacks mention of pagination or semantic details, but adequate for a basic search tool.

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?

Schema coverage is 100% with descriptions for both parameters. The description reinforces 'natural-language query' but adds no new meaning beyond the 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?

Description clearly states verb 'search' and resource 'concept, connection, and Q&A articles' with a specific scope. It distinguishes from siblings: find_contradictions and get_article serve different purposes.

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?

Context of semantic search is clear, but no explicit guidance on when to use this tool versus siblings. Usage is implied rather than stated directly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/seanwinslow28/sw-mcp-vault-knowledge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server