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everton-dgn

vault-search-mcp

by everton-dgn

search_vault_hybrid

Perform hybrid search combining semantic and keyword methods to retrieve exact technical terms and related content from local vaults.

Instructions

Combine semantic and keyword search.

This can recover exact technical terms, names, and acronyms alongside semantically related content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYessearch text
top_kNonumber of results

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden. It does not disclose any side effects, authentication requirements, or rate limits. While it is likely a read-only search, the description omits any explicit statement about non-destructive behavior, leaving some ambiguity.

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 two sentences with no unnecessary words. The core functionality and its primary advantage are stated efficiently, making it easy to parse.

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?

The description sufficiently explains what the tool does and what it recovers. It does not mention output format or usage prerequisites, but for a search tool these are not critical. The description is complete enough for an agent to select and invoke it correctly.

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 clear descriptions for both parameters ('search text' and 'number of results'). The description does not add additional nuance beyond what the schema provides, so the baseline of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool combines semantic and keyword search, and explains the benefit of recovering exact terms and semantic content. However, it could be more explicit in framing it as a search operation, though the context of sibling tools makes that obvious.

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 gives a hint on when to use it (when exact technical terms and semantic similarity are both needed), but does not explicitly contrast it with sibling tools like find_similar_notes or search_advanced. No explicit 'when to use' guidance is provided.

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