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everton-dgn

vault-search-mcp

by everton-dgn

vector_index_status

Retrieve the vector index status, covering existence, threshold, chunk count, eligibility, and auto-creation settings.

Instructions

Return ANN vector-index status.

The index is created when the configured chunk threshold is reached.

Returns: Current existence, threshold, chunk count, eligibility, and auto-creation setting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

The description explains the creation condition ('index is created when the configured chunk threshold is reached') and outlines the returned fields. Since there are no annotations, the description carries the burden; it provides meaningful insight into the tool's behavior without being exhaustive.

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 long, directly states the action and the key behavioral detail, and lists the output fields. No unnecessary words or fluff.

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

Completeness5/5

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

The description enumerates exactly what the tool returns ('Current existence, threshold, chunk count, eligibility, and auto-creation setting'). It also provides the trigger condition. Given the simplicity of a status check, this is complete context for an agent to decide and invoke correctly.

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 tool has zero parameters, so the schema is fully covered by default. There is nothing to explain about parameters, making the description perfectly adequate in this dimension.

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: 'Return ANN vector-index status.' The resource is specific (ANN vector-index) and the verb is definitive. It is distinct from all sibling tools, none of which target vector-index status specifically.

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 does not explicitly state when to use this tool versus alternatives. However, given that no sibling tool provides vector-index status, the use case is implicitly unique. Still, the lack of explicit 'use this when' guidance prevents a higher score.

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