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deslicer

MCP Server for Splunk

by deslicer

Create Kvstore Collection

create_kvstore_collection

Set up a Splunk KV Store collection inside a chosen app with optional fields, indexing, and a lookup definition for storing lookups or persisted configuration.

Instructions

Create a KV Store collection with optional fields and indexing. Use this to provision a new collection for lookups or persisted configuration in a specific app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appYesTarget Splunk application where the collection will be created. Examples: - 'search': Default search app - 'my_app': Custom application - 'splunk_monitoring_console': Monitoring console app
fieldsNoField definitions specifying data types and constraints
collectionYesName for the new collection (alphanumeric and underscores only). Examples: - 'users': User information store - 'configurations': Application settings - 'lookup_table': Data enrichment table
replicatedNoWhether to replicate across cluster (default: True)
accelerated_fieldsNoIndex definitions for faster queries
create_lookup_definitionNoAlso create a transforms.conf lookup definition (default: False)
Install Server

TDQS

A3.8/5.0
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 for behavioral disclosure. It merely states the creation action but does not mention any side effects, permissions required, idempotency, or whether existing collections with the same name are overwritten. This is a significant gap for a mutation tool.

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, front-loaded with the action and key details. It is appropriately sized and every sentence contributes meaning without unnecessary verbosity.

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 rich schema with 100% parameter coverage and no output schema, the description is complete enough for an AI agent to understand the tool's purpose and usage. It lacks only minor behavioral details, but the overall context is sufficient for a straightforward creation 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?

The input schema covers 100% of the parameters with detailed descriptions and examples, so the baseline is 3. The description adds no parameter-specific detail beyond what the schema already provides, but it does reinforce that fields and indexing are optional.

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 action ('Create a KV Store collection') and the scope ('for lookups or persisted configuration in a specific app'). It differentiates from sibling tools like list_kvstore_collections and get_kvstore_data by focusing on the creation action.

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 provides an explicit use case: 'Use this to provision a new collection for lookups or persisted configuration in a specific app.' It does not enumerate alternatives or when-not-to-use, but the context is clear and sufficient for an agent to select this tool for creation tasks.

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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