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pvliesdonk

markdown-vault-mcp

by pvliesdonk

Vault Stats

stats
Read-onlyIdempotent

Check vault size, capabilities, and configuration at the start of a session to determine available search modes, including semantic search.

Instructions

Get an overview of the vault's size, capabilities, and configuration.

Call this at the start of a session to understand what the vault contains and what search modes are available. The 'semantic_search_available' field tells you whether mode="semantic" or mode="hybrid" can be used in 'search'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wait_for_pending_writesNoWait for recent index writes. On timeout, answer from the current index with _meta.index_stale=true. Default false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv5.0.0
    • changedInput schema / properties / wait_for_pending_writes / description
      Previous value: -"When True, wait until your recent\ndocument mutations have been applied to the\nindex before answering, so the results reflect those changes.\nUse it right after modifying notes when this read must see\nthem (e.g. right after a document mutation whose\neffect this read should reflect). Default\nFalse answers immediately from the current index — almost\nalways already up to date; inspect the response's\n``_meta.index_stale`` field to tell whether a write was still\nin flight. Bounded by a server timeout (default 60s); on\ntimeout it answers from the current index rather than waiting\nlonger."New value: +"Wait for recent index writes. On timeout, answer from the current index with _meta.index_stale=true. Default false."
  2. Changed1 schema field changedv4.0.0
    • changedInput schema / properties / wait_for_pending_writes / description
      Previous value: -"When True, wait until your recent\nwrite/edit/delete/rename operations have been applied to the\nindex before answering, so the results reflect those changes.\nUse it right after modifying notes when this read must see\nthem (e.g. right after a write/edit/delete/rename whose\neffect this read should reflect). Default\nFalse answers immediately from the current index — almost\nalways already up to date; inspect the response's\n``_meta.index_stale`` field to tell whether a write was still\nin flight. Bounded by a server timeout (default 60s); on\ntimeout it answers from the current index rather than waiting\nlonger."New value: +"When True, wait until your recent\ndocument mutations have been applied to the\nindex before answering, so the results reflect those changes.\nUse it right after modifying notes when this read must see\nthem (e.g. right after a document mutation whose\neffect this read should reflect). Default\nFalse answers immediately from the current index — almost\nalways already up to date; inspect the response's\n``_meta.index_stale`` field to tell whether a write was still\nin flight. Bounded by a server timeout (default 60s); on\ntimeout it answers from the current index rather than waiting\nlonger."
  3. First observedv3.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds useful behavioral context by revealing that the output includes a semantic_search_available field that determines whether mode='semantic' or mode='hybrid' can be used in search.

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 three sentences with no filler. The purpose is front-loaded, followed by explicit usage guidance and a useful output-field hint. Every sentence earns its place.

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 tool has rich annotations, a well-described parameter, and an output schema, so the description does not need to repeat those. It supplies the missing context: when to call, what to use the result for, and how the result relates to search modes.

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?

There is only one optional parameter, and the schema description covers it 100%, including its default and timeout behavior. The tool description adds no parameter semantics, 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.

Purpose5/5

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

The description states a specific verb and resource: 'Get an overview of the vault's size, capabilities, and configuration.' It also clarifies the practical purpose—understanding what the vault contains and which search modes are available—which distinguishes it from sibling tools like get_server_info or get_index_status.

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

Usage Guidelines4/5

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

The description explicitly recommends calling this 'at the start of a session' and explains how the semantic_search_available field affects use of the search tool. It does not name alternatives or exclusions, but the context is clear enough for an agent to know when this is the right tool.

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